Triple
T6546276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haley Bennett |
E151015
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Haley |
E247478
|
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: Haley | Statement: [Haley Bennett, givenName, Haley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haley Context triple: [Haley Bennett, givenName, Haley]
-
A.
Haley
chosen
Haley is a surname most notably associated with American actor Jack Haley, who played the Tin Man in the classic film "The Wizard of Oz."
-
B.
Hailey
Hailey is a small rural village located within the district of West Oxfordshire in England.
-
C.
Hailey
Hailey is a parish in Hertfordshire, England, associated with the town of Haileybury.
-
D.
Haley Meadows
Haley Meadows is the daughter of former White House Chief of Staff and U.S. Representative Mark Meadows.
-
E.
Haley Jones
Haley Jones is an American basketball player best known for starring at Stanford University, where she led the Cardinal to a national championship and emerged as one of the top collegiate guards in the country.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6adf00aa48190a86a9ad4795363d9 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d54b6d8c819083595375194aee12 |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:50 p.m.