Triple
T20473484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GoldenEye 007 |
E502252
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Robin Beanland |
—
|
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: Robin Beanland | Statement: [GoldenEye 007, musicBy, Robin Beanland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robin Beanland Context triple: [GoldenEye 007, musicBy, Robin Beanland]
-
A.
Robin Beanland
chosen
Robin Beanland is a British video game composer best known for his work on numerous Rare titles, including iconic soundtracks for platformers and action-adventure games.
-
B.
Kay Bawden
Kay Bawden is a social worker and one of the central adult characters in J.K. Rowling’s novel "The Casual Vacancy," whose professional and personal struggles highlight the book’s themes of class, responsibility, and community conflict.
-
C.
Robin Colcord
Robin Colcord is a wealthy British businessman and recurring love interest on the TV sitcom "Cheers."
-
D.
Christopher Bean
Christopher Bean is the unseen but pivotal deceased artist whose legacy and relationships drive the plot of the play "The Late Christopher Bean."
-
E.
Robin Brims
Robin Brims is a retired British Army lieutenant general known for his senior command roles during the Iraq War and other major UK military operations.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69962d810819091bb13fe73250e24 |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.