Triple
T2359827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hailey |
E47244
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Hailey |
E103796
|
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: Hailey | Statement: [Hailey, hasName, Hailey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hailey Context triple: [Hailey, hasName, Hailey]
-
A.
Hailey
Hailey is a parish in Hertfordshire, England, associated with the town of Haileybury.
-
B.
Hailey
chosen
Hailey is a small rural village located within the district of West Oxfordshire in England.
-
C.
Haley Meadows
Haley Meadows is the daughter of former White House Chief of Staff and U.S. Representative Mark Meadows.
-
D.
Hayley
Hayley is a Canadian former ice hockey player widely regarded as one of the greatest female hockey players of all time.
-
E.
Haley
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."
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc722ac3c819091f4316a4a166a77 |
completed | March 7, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae963b84f08190b3ca60db98dd8745 |
completed | March 9, 2026, 9:43 a.m. |
Created at: March 4, 2026, 7:55 p.m.