Triple
T30806168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Young Guns II |
E784503
|
entity |
| Predicate | soundtrackSongPerformer |
P151427
|
FINISHED |
| Object | Jon Bon Jovi |
—
|
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: Jon Bon Jovi | Statement: [Young Guns II, soundtrackSongPerformer, Jon Bon Jovi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundtrackSongPerformer Context triple: [Young Guns II, soundtrackSongPerformer, Jon Bon Jovi]
-
A.
hasSoundtrackPerformer
chosen
Indicates that a performer (such as an artist, band, or ensemble) is responsible for performing music on the soundtrack associated with a given work.
-
B.
soundtrackLyricist
Indicates that a person is the lyricist who wrote the words for the soundtrack of a work (such as a film, show, or game).
-
C.
sangSoundtrackFor
Indicates that one entity performed or recorded the soundtrack music for a work associated with another entity.
-
D.
soundtrackFeatures
Indicates that a particular soundtrack includes or showcases a given piece of music, artist, or audio element as part of its content.
-
E.
soundtrackProducer
Indicates that one entity is the producer responsible for creating or overseeing the soundtrack associated with another entity (such as a film, game, or show).
- F. None of above.
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_69f224b3a7ec819096939414d103e31e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 29, 2026, 8:43 p.m.