Triple
T14719611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hailee |
E345775
|
entity |
| Predicate | variantOf |
P4680
|
FINISHED |
| Object | Hayley |
E521401
|
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: Hayley | Statement: [Hailee, variantOf, Hayley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hayley Context triple: [Hailee, variantOf, 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 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."
-
E.
Hayley McFarland
Hayley McFarland is an American actress best known for her roles in horror and drama projects, including a supporting role in the film "The Conjuring" and appearances on television series such as "Lie to Me."
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98823408190b4b58a4c4a3fa3a3 |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0935f088190b54f2e106532972a |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:29 a.m.