Triple
T10688887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Neville Lyttelton |
E251954
|
entity |
| Predicate | givenName |
P17
|
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: [Sir Neville Lyttelton, givenName, Neville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neville Context triple: [Sir Neville Lyttelton, givenName, Neville]
-
A.
Neville
Neville is an English surname most prominently associated with former professional footballer and coach Phil Neville.
-
B.
Neville
Neville is a fictional character appearing in the British animated children's television series "Dot."
-
C.
Nevil
chosen
Nevil is a given name and surname, typically considered a variant spelling of Nevill or Neville.
-
D.
Neville Kid
Neville Kid is a music video director known for creating the visual accompaniment to the song "Problem."
-
E.
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."
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd1aef888190ba92474af3a49e36 |
completed | April 9, 2026, 1:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9889d1f988190938be54771161b00 |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:11 p.m.