Triple
T15515962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two of a Kind |
E368834
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Richard Bright
Richard Bright was an American character actor best known for his role as Al Neri in "The Godfather" film trilogy.
|
E1161988
|
NE FINISHED |
How this triple was built (4 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: Richard Bright | Statement: [Two of a Kind, starring, Richard Bright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Bright Context triple: [Two of a Kind, starring, Richard Bright]
-
A.
Richard Bright
Richard Bright was a 19th-century English physician best known as a pioneer of nephrology for his landmark work on kidney disease.
-
B.
William Cleland
William Cleland was a Scottish Covenanter and soldier known for leading the Cameronian regiment in late 17th-century conflicts against Jacobite forces.
-
C.
Philip Christison
Philip Christison was a British Army general who held senior commands in World War II, particularly in Southeast Asia.
-
D.
Richard Sharp
Richard Sharp is a British businessman and former investment banker best known for serving as chairman of the BBC.
-
E.
Edward Blount
Edward Blount was a prominent early 17th-century London stationer and publisher best known for co-publishing Shakespeare’s First Folio.
- 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: Richard Bright Triple: [Two of a Kind, starring, Richard Bright]
Generated description
Richard Bright was an American character actor best known for his role as Al Neri in "The Godfather" film trilogy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Richard Bright Target entity description: Richard Bright was an American character actor best known for his role as Al Neri in "The Godfather" film trilogy.
-
A.
Richard Bright
Richard Bright was a 19th-century English physician best known as a pioneer of nephrology for his landmark work on kidney disease.
-
B.
William Cleland
William Cleland was a Scottish Covenanter and soldier known for leading the Cameronian regiment in late 17th-century conflicts against Jacobite forces.
-
C.
Philip Christison
Philip Christison was a British Army general who held senior commands in World War II, particularly in Southeast Asia.
-
D.
Richard Sharp
Richard Sharp is a British businessman and former investment banker best known for serving as chairman of the BBC.
-
E.
Edward Blount
Edward Blount was a prominent early 17th-century London stationer and publisher best known for co-publishing Shakespeare’s First Folio.
- F. None of above. chosen
Provenance (5 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04033303c8190a87b6384f68a6921 |
completed | April 16, 2026, 1:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5111648190a61fc87170b0d93c |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff3f075bb881908c254137ca7c3f9f |
completed | May 9, 2026, 2:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff3f87f788819080eccae52b0df145 |
completed | May 9, 2026, 2:07 p.m. |
Created at: April 10, 2026, 4:02 a.m.