Triple
T22472126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Reynolds |
E555527
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bruce Reynolds |
—
|
NE NERFINISHED |
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: Bruce Reynolds | Statement: [Bruce Reynolds, name, Bruce Reynolds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruce Reynolds Context triple: [Bruce Reynolds, name, Bruce Reynolds]
-
A.
Bruce Reynolds
chosen
Bruce Reynolds was a British criminal best known as the mastermind behind the 1963 Great Train Robbery.
-
B.
Paul Reynolds
Paul Reynolds is a New Zealand politician and former chief executive of Telecom New Zealand, known for leading the company through major structural and technological changes.
-
C.
Paul Reynolds
Paul Reynolds is a British actor best known for his role in the television series "Press Gang."
-
D.
Roger Reynolds
Roger Reynolds is an American composer known for his innovative work in electroacoustic music and spatialization, as well as his influential role in contemporary classical composition and education.
-
E.
Don Reynolds
Don Reynolds is a name shared by several individuals, most notably an American child actor and animal trainer who appeared in Western films in the mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be0d3c08190851537660cda619c |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:48 p.m.