Triple
T8486313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millions |
E200839
|
entity |
| Predicate | childActorCast |
P83548
|
FINISHED |
| Object |
Alex Etel
Alex Etel is a British former child actor best known for his lead role in the film "Millions" and later appearances in movies such as "The Water Horse: Legend of the Deep."
|
E736164
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Alex Etel | Statement: [Millions, childActorCast, Alex Etel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Etel Context triple: [Millions, childActorCast, Alex Etel]
-
A.
Alex Gorsky
Alex Gorsky is an American business executive best known for serving as chairman and CEO of Johnson & Johnson.
-
B.
Alexander Rose
Alexander Rose is a historian and author best known for his book "Washington's Spies," which inspired the television series "Turn: Washington's Spies."
-
C.
Alex Segal
Alex Segal was an American film, television, and theater director active in the mid-20th century.
-
D.
Etan Cohen
Etan Cohen is an American screenwriter and director best known for co-writing hit comedy films such as Tropic Thunder and Men in Black 3.
-
E.
Adam Zertal
Adam Zertal was an Israeli archaeologist best known for his extensive excavations and research in the biblical heartland of Samaria, including the controversial site on Mount Ebal.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Alex Etel Triple: [Millions, childActorCast, Alex Etel]
Generated description
Alex Etel is a British former child actor best known for his lead role in the film "Millions" and later appearances in movies such as "The Water Horse: Legend of the Deep."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alex Etel Target entity description: Alex Etel is a British former child actor best known for his lead role in the film "Millions" and later appearances in movies such as "The Water Horse: Legend of the Deep."
-
A.
Alex Gorsky
Alex Gorsky is an American business executive best known for serving as chairman and CEO of Johnson & Johnson.
-
B.
Alexander Rose
Alexander Rose is a historian and author best known for his book "Washington's Spies," which inspired the television series "Turn: Washington's Spies."
-
C.
Alex Segal
Alex Segal was an American film, television, and theater director active in the mid-20th century.
-
D.
Etan Cohen
Etan Cohen is an American screenwriter and director best known for co-writing hit comedy films such as Tropic Thunder and Men in Black 3.
-
E.
Adam Zertal
Adam Zertal was an Israeli archaeologist best known for his extensive excavations and research in the biblical heartland of Samaria, including the controversial site on Mount Ebal.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: childActorCast Context triple: [Millions, childActorCast, Alex Etel]
-
A.
childActor
Indicates that one entity is an actor who is a child of another entity (typically a parent or guardian).
-
B.
childSystem
Indicates that one system is hierarchically subordinate to and contained within another system as its child.
-
C.
activeAsChildActorInDecade
Indicates that a person worked as a child actor during a specified decade.
-
D.
castMemberWith
Indicates that one entity is a cast member appearing together with another specified entity in the same production or work.
-
E.
employedActor
Indicates that one entity has hired or currently employs another entity to perform work or services.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53c4d608190a766c0e919a4b96f |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a45e30c8190838ac499bbc66fbd |
completed | April 2, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ce3c22f3c0819084803630d438c55e |
completed | April 2, 2026, 9:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3ca57ec081909a14d962eee2c9a5 |
completed | April 2, 2026, 9:53 a.m. |
| PD | Predicate disambiguation | batch_69cbd107633c8190a36ba50e07876918 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:13 p.m.