Triple
T26204882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 24 Nights |
E655334
|
entity |
| Predicate | includesGuestMusician |
P154364
|
FINISHED |
| Object | Phil Collins |
—
|
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: Phil Collins | Statement: [24 Nights, includesGuestMusician, Phil Collins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesGuestMusician Context triple: [24 Nights, includesGuestMusician, Phil Collins]
-
A.
hasGuestMusicians
chosen
Indicates that an event, performance, or recording includes musicians who participate as guests rather than as regular or primary members.
-
B.
hasGuestVocalists
Indicates that one or more guest vocalists perform vocals on a work, performance, or recording in addition to the primary artist(s).
-
C.
recordingArtistOfGuestVocalist
Indicates that an artist is the primary recording artist on a work that features another artist as a guest vocalist.
-
D.
numberOfGuestArtists
Indicates the count of guest artists associated with or participating in a particular work, event, or entity.
-
E.
hasBackingMusician
Indicates that one entity serves as a supporting or accompanying musician for another entity, typically in a performance or recording context.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: April 26, 2026, 8:50 p.m.