Triple
T17435507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeffrey Hunter |
E423991
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Christopher Hunter
Christopher Hunter is the son of American actor Jeffrey Hunter, who was known for his roles in classic films and early television.
|
E1268676
|
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: Christopher Hunter | Statement: [Jeffrey Hunter, child, Christopher Hunter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Hunter Context triple: [Jeffrey Hunter, child, Christopher Hunter]
-
A.
Christopher Hunter
Christopher Hunter is the son of American actress Barbara Rush.
-
B.
John Canada Terrell
John Canada Terrell is an American actor best known for his starring role in Spike Lee’s breakthrough 1986 film "She’s Gotta Have It."
-
C.
Keith Stallworth
Keith Stallworth is an actor known for appearing in the dance film "Step Up 3D."
-
D.
Steven D. Black
Steven D. Black is an American banking executive and former co-CEO of JPMorgan’s investment bank who serves as the chair of Wells Fargo & Company.
-
E.
Jonathan Hunter
Jonathan Hunter is the son of British screenwriter Ian McLellan Hunter, who was known for his work in mid-20th-century cinema.
- 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: Christopher Hunter Triple: [Jeffrey Hunter, child, Christopher Hunter]
Generated description
Christopher Hunter is the son of American actor Jeffrey Hunter, who was known for his roles in classic films and early television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christopher Hunter Target entity description: Christopher Hunter is the son of American actor Jeffrey Hunter, who was known for his roles in classic films and early television.
-
A.
Christopher Hunter
Christopher Hunter is the son of American actress Barbara Rush.
-
B.
John Canada Terrell
John Canada Terrell is an American actor best known for his starring role in Spike Lee’s breakthrough 1986 film "She’s Gotta Have It."
-
C.
Keith Stallworth
Keith Stallworth is an actor known for appearing in the dance film "Step Up 3D."
-
D.
Steven D. Black
Steven D. Black is an American banking executive and former co-CEO of JPMorgan’s investment bank who serves as the chair of Wells Fargo & Company.
-
E.
Jonathan Hunter
Jonathan Hunter is the son of British screenwriter Ian McLellan Hunter, who was known for his work in mid-20th-century cinema.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490361c081908fd24f9a812f212c |
completed | April 19, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01aff0b26c8190a6e65451e52199bb |
completed | May 11, 2026, 10:31 a.m. |
| NEDg | Description generation | batch_6a01b12b5df4819089fd89fd25338533 |
completed | May 11, 2026, 10:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b17486c08190aa47953e74c62e84 |
completed | May 11, 2026, 10:37 a.m. |
Created at: April 10, 2026, 5:46 a.m.