Triple
T24028368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Page of Life |
E595027
|
entity |
| Predicate | hasPrimaryInstruments |
P54631
|
FINISHED |
| Object | synthesizers |
—
|
LITERAL FINISHED |
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: synthesizers | Statement: [Page of Life, hasPrimaryInstruments, synthesizers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryInstruments Context triple: [Page of Life, hasPrimaryInstruments, synthesizers]
-
A.
includesInstruments
Indicates that one entity contains, involves, or makes use of one or more instruments as part of its composition or execution.
-
B.
featuresPrimaryInstrument
chosen
Indicates that an entity is associated with the main or most prominent instrument used or highlighted in another entity (such as a work, performance, or recording).
-
C.
hasPrimaryMusician
Indicates that an entity has a specific musician designated as its main or principal performer.
-
D.
hasMusicalInstrument
Indicates that one entity possesses, uses, or is associated with a particular musical instrument.
-
E.
hadInstrument
Indicates that an action or event was performed using a particular instrument or tool.
- 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_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d76d393c8190ae9b1b9e43fe0efa |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:54 p.m.