Triple
T1269430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Eastwood |
E15674
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Alison Eastwood |
E146794
|
NE FINISHED |
How this triple was built (2 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: Alison Eastwood | Statement: [Scott Eastwood, hasRelative, Alison Eastwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alison Eastwood Context triple: [Scott Eastwood, hasRelative, Alison Eastwood]
-
A.
Alison Eastwood
chosen
Alison Eastwood is an American actress, director, and fashion model, and the daughter of filmmaker Clint Eastwood.
-
B.
Francesca Eastwood
Francesca Eastwood is an American actress, model, and television personality, and the daughter of filmmaker Clint Eastwood.
-
C.
Tyne Daly
Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
-
D.
Bridget Fonda
Bridget Fonda is an American actress known for her roles in 1990s films such as "Single White Female," "Point of No Return," and "Jackie Brown," and as a member of the famous Fonda acting family.
-
E.
Grace Costner
Grace Costner is one of American actor and filmmaker Kevin Costner’s daughters.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c03aaa8c8190bacb7de5a38329da |
completed | March 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf1fa1148190a8a8a5b3e34946f0 |
completed | March 8, 2026, 12:13 a.m. |
Created at: March 1, 2026, 7:50 p.m.