Triple
T19534499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayley Williams |
E488734
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hayley |
—
|
NE NERFINISHED |
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: Hayley | Statement: [Hayley Williams, givenName, Hayley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hayley Context triple: [Hayley Williams, givenName, Hayley]
-
A.
Hayley
Hayley is a Canadian former ice hockey player widely regarded as one of the greatest female hockey players of all time.
-
B.
Hayley
chosen
Hayley is a feminine given name commonly used in English-speaking countries, often associated with meanings related to hay meadows or clearings.
-
C.
Hayley Green
Hayley Green is a small residential area within the civil parish of Warfield in Berkshire, England.
-
D.
Hayley Haller
Hayley Haller is a fictional character in Michael Connelly’s Lincoln Lawyer series, known as the teenage daughter of defense attorney Mickey Haller.
-
E.
Hayley Squires
Hayley Squires is an English actress and writer known for her acclaimed performances in film, television, and theatre, including her breakout role in Ken Loach's "I, Daniel Blake."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e636417ed88190b4c66a323bca776f |
completed | April 20, 2026, 2:20 p.m. |
Created at: April 10, 2026, 1:41 p.m.