Triple
T14839329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delphine Seyrig |
E348915
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Duncan Youngerman
Duncan Youngerman is the son of renowned French actress and feminist icon Delphine Seyrig.
|
E1136604
|
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: Duncan Youngerman | Statement: [Delphine Seyrig, child, Duncan Youngerman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duncan Youngerman Context triple: [Delphine Seyrig, child, Duncan Youngerman]
-
A.
Douglas Dick
Douglas Dick was an American actor known for his supporting roles in mid-20th-century films and television, including appearances in war dramas and suspense thrillers.
-
B.
Gary Maitland
Gary Maitland is a Scottish actor best known for his roles in Ken Loach films, including the comedy-drama "The Angels' Share."
-
C.
Chris Haywood
Chris Haywood is an Australian actor known for his extensive work in film, television, and theatre since the 1970s.
-
D.
Malcolm McConnell
Malcolm McConnell is an American author and journalist best known for co-writing numerous military and war-related nonfiction books with prominent soldiers and veterans.
-
E.
Douglas Guilfoyle
Douglas Guilfoyle is an international law scholar known for his work on the law of the sea, maritime security, and international criminal law.
- 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: Duncan Youngerman Triple: [Delphine Seyrig, child, Duncan Youngerman]
Generated description
Duncan Youngerman is the son of renowned French actress and feminist icon Delphine Seyrig.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Duncan Youngerman Target entity description: Duncan Youngerman is the son of renowned French actress and feminist icon Delphine Seyrig.
-
A.
Douglas Dick
Douglas Dick was an American actor known for his supporting roles in mid-20th-century films and television, including appearances in war dramas and suspense thrillers.
-
B.
Gary Maitland
Gary Maitland is a Scottish actor best known for his roles in Ken Loach films, including the comedy-drama "The Angels' Share."
-
C.
Chris Haywood
Chris Haywood is an Australian actor known for his extensive work in film, television, and theatre since the 1970s.
-
D.
Malcolm McConnell
Malcolm McConnell is an American author and journalist best known for co-writing numerous military and war-related nonfiction books with prominent soldiers and veterans.
-
E.
Douglas Guilfoyle
Douglas Guilfoyle is an international law scholar known for his work on the law of the sea, maritime security, and international criminal law.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28e40f08190b309d8ac6404d2fc |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae005644819098937cedb53202c5 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feaed6acc881909a70376ea3805935 |
completed | May 9, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb014d9108190b7417f0b3c1838f5 |
completed | May 9, 2026, 3:55 a.m. |
Created at: April 10, 2026, 1:52 a.m.