Triple
T20121565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GoldenEye |
E490619
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Martin Campbell |
—
|
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: Martin Campbell | Statement: [GoldenEye, director, Martin Campbell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Campbell Context triple: [GoldenEye, director, Martin Campbell]
-
A.
Martin Campbell
chosen
Martin Campbell is a New Zealand film director best known for revitalizing the James Bond franchise with the hit films GoldenEye and Casino Royale.
-
B.
Douglas Gerrard
Douglas Gerrard was an early 20th-century film actor and director who appeared in numerous silent-era productions.
-
C.
Thomas Eyre
Thomas Eyre is a relatively obscure historical figure whose specific identity and achievements are not clearly distinguished in common reference sources.
-
D.
Eddie Wright
Eddie Wright is known as one of the children of Hall of Fame college basketball coach Jay Wright.
-
E.
Peter Eyre
Peter Eyre is a British actor known for his work in film, television, and theatre, often appearing in period dramas and literary adaptations.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673e79dc81908fbd387c067fce79 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:30 p.m.