Triple
T19234460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden State |
E480957
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Bonedriven |
—
|
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: Bonedriven | Statement: [Golden State, hasPart, Bonedriven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonedriven Context triple: [Golden State, hasPart, Bonedriven]
-
A.
Bonedriven
chosen
Bonedriven is a song by the English rock band Bush, featured on their 1996 album Razorblade Suitcase.
-
B.
Bone on Bone
Bone on Bone is a 2017 studio album by Canadian singer-songwriter and guitarist Bruce Cockburn, noted for its intricate acoustic work and reflective, spiritually infused songwriting.
-
C.
Skeletun
Skeletun is a popular Nigerian Afrobeats song by Tekno known for its catchy rhythm and danceable vibe.
-
D.
Mean Bone
"Mean Bone" is a hard rock song by Slash's Snakepit, showcasing Slash's signature guitar work and gritty, blues-infused style.
-
E.
To the Bone
To the Bone is a 2017 drama film about a young woman’s struggle with anorexia, written and directed by Marti Noxon and starring Lily Collins.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faeb53988190b83afee9974058c6 |
completed | April 20, 2026, 10:07 a.m. |
Created at: April 10, 2026, 1:26 p.m.