Triple
T6809352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Neville |
E156590
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Neville |
E486522
|
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: Neville | Statement: [Gary Neville, familyName, Neville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neville Context triple: [Gary Neville, familyName, Neville]
-
A.
Neville
Neville is a fictional character appearing in the British animated children's television series "Dot."
-
B.
Nevil
chosen
Nevil is a given name and surname, typically considered a variant spelling of Nevill or Neville.
-
C.
Neville Hope
Neville Hope is a fictional British bricklayer and one of the central members of the group of migrant construction workers in the television comedy-drama series "Auf Wiedersehen, Pet."
-
D.
Neville Sinclair
Neville Sinclair is the suave, villainous Hollywood actor and secret Nazi agent from the 1991 film "The Rocketeer."
-
E.
Guy Crouchback
Guy Crouchback is the disillusioned yet idealistic English Catholic aristocrat whose wartime experiences and moral struggles form the core of Evelyn Waugh’s Sword of Honour trilogy.
- 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_69c68828b26c819090fe9df7612bbc27 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d30c741881909e220b05aa564bc2 |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71aa5411c81908d05bef3213b39f1 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:16 p.m.