Triple
T36271759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trigger |
E892690
|
entity |
| Predicate | primaryPerformanceInstrumentOf |
P54631
|
FINISHED |
| Object | Willie Nelson |
E8619
|
NE 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: Willie Nelson | Statement: [Trigger, primaryPerformanceInstrumentOf, Willie Nelson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryPerformanceInstrumentOf Context triple: [Trigger, primaryPerformanceInstrumentOf, Willie Nelson]
-
A.
primaryInstrumentAbbreviation
Indicates that one entity is the standard shortened or abbreviated form of the name of another entity’s primary instrument.
-
B.
primaryInstrumentRole
Indicates that an entity serves as the main or leading instrument in a given role, context, or performance.
-
C.
primaryInstrumentFamily
Indicates the main family or category of musical instruments with which an entity is primarily associated.
-
D.
primaryInstrumentalStyle
Indicates the main instrumental style or genre most closely associated with an entity’s musical performance or work.
-
E.
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).
- F. None of above.
Provenance (4 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_69f76e488f34819083e254dbe288c27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3efd9cabb8819087f19b2bc1c125b7 |
completed | June 26, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:09 p.m.