Triple
T10493600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haley |
E247478
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Jack Haley Jr. |
E654686
|
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: Jack Haley Jr. | Statement: [Haley, hasNotableBearer, Jack Haley Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Haley Jr. Context triple: [Haley, hasNotableBearer, Jack Haley Jr.]
-
A.
Jack Haley Jr.
chosen
Jack Haley Jr. was an American film and television producer, director, and documentarian best known for his work on classic Hollywood retrospectives and compilation films.
-
B.
Jack Haley
Jack Haley was an American actor best known for playing the Tin Man in the classic 1939 film "The Wizard of Oz."
-
C.
Rex Harrington
Rex Harrington is a celebrated Canadian ballet dancer and former principal with the National Ballet of Canada, renowned for his dramatic stage presence and virtuosic technique.
-
D.
Charlie Tahan
Charlie Tahan is an American actor known for his roles in films like "Charlie St. Cloud" and "Super Dark Times" and TV series such as "Ozark" and "Wayward Pines."
-
E.
Frank Gaylord
Frank Gaylord was an American sculptor best known for creating the statues of soldiers at the Korean War Veterans Memorial in Washington, D.C.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097fe2bc81909d66ce43f3533284 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dd040f48190a645ebd131f9205c |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:24 p.m.