Triple
T16783838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Glennie-Smith |
E407920
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Nicholas Glennie-Smith |
E92291
|
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: Nicholas Glennie-Smith | Statement: [Nick Glennie-Smith, birthName, Nicholas Glennie-Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Glennie-Smith Context triple: [Nick Glennie-Smith, birthName, Nicholas Glennie-Smith]
-
A.
Nick Glennie-Smith
chosen
Nick Glennie-Smith is a British film composer and conductor known for his work on high-profile action and adventure movie scores.
-
B.
Ian Liddell-Grainger
Ian Liddell-Grainger is a British Conservative Party politician who has served as the Member of Parliament for Bridgwater and West Somerset since 2001.
-
C.
Kenneth Woods
Kenneth Woods is a member of the Woods family, known primarily in relation to that family lineage.
-
D.
Danny Grainger
Danny Grainger is an English former professional footballer, primarily a left-back, who went on to become a football manager.
-
E.
Paul Mealor
Paul Mealor is a Welsh composer renowned for his choral and ceremonial music, including works written for major royal occasions.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b218d31881908d896e688ebd171c |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012327b68881908ad5f4e2fe03f56a |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:22 a.m.