Triple
T6846184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil Neville |
E157899
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Tracey Neville |
E619524
|
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: Tracey Neville | Statement: [Phil Neville, sibling, Tracey Neville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracey Neville Context triple: [Phil Neville, sibling, Tracey Neville]
-
A.
Tracey Neville
chosen
Tracey Neville is a former England international netball player and coach who notably led the England national team to gold at the 2018 Commonwealth Games.
-
B.
Cheryl Campbell
Cheryl Campbell is a British actress known for her work in film, television, and theatre, including a notable role in the Oscar-winning film "Chariots of Fire."
-
C.
Shirley Ballas
Shirley Ballas is a renowned British ballroom dancer and dance teacher best known as the head judge on the television show Strictly Come Dancing.
-
D.
Lesley Barber
Lesley Barber is a Canadian composer known for her evocative film scores, including the critically acclaimed music for "Manchester by the Sea."
-
E.
Lara Bingle
Lara Bingle is an Australian model, media personality, and entrepreneur best known for her high-profile advertising campaigns and reality television appearances.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7cbe4488190b41ddf953f12f55f |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fc42e688190baa8413883e5506c |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:20 p.m.