Triple
T4697062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erased (film score) |
E104172
|
entity |
| Predicate | associatedWithLeadActor |
P6108
|
FINISHED |
| Object | Aaron Eckhart |
E135623
|
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: Aaron Eckhart | Statement: [Erased (film score), associatedWithLeadActor, Aaron Eckhart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aaron Eckhart Context triple: [Erased (film score), associatedWithLeadActor, Aaron Eckhart]
-
A.
Aaron Eckhart
chosen
Aaron Eckhart is an American actor best known for his roles in films such as "The Dark Knight," "Thank You for Smoking," and "Erin Brockovich."
-
B.
Giovanni Ribisi
Giovanni Ribisi is an American actor known for his character roles in films like "Saving Private Ryan," "Avatar," and the TV series "Friends."
-
C.
Bill Hartnett
Bill Hartnett is a person notable enough to be recognized as a bearer of the surname Hartnett, though specific widely known achievements or roles are not clearly documented.
-
D.
Anthony Redman
Anthony Redman is a film editor best known for his work on the 1990 crime drama "King of New York."
-
E.
Joel David Moore
Joel David Moore is an American actor and director best known for his roles in films like "Avatar" and the TV series "Bones."
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63b4489c8190a3c30a8a70fcb67e |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be39dd7d9c8190912044c8616cf8a0 |
completed | March 21, 2026, 6:25 a.m. |
Created at: March 20, 2026, 1:17 p.m.