Triple
T3765283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsonite Man |
E82659
|
entity |
| Predicate | primaryInstrumentOfPerformer |
P12601
|
FINISHED |
| Object | piano |
—
|
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: piano | Statement: [Samsonite Man, primaryInstrumentOfPerformer, piano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryInstrumentOfPerformer Context triple: [Samsonite Man, primaryInstrumentOfPerformer, piano]
-
A.
primaryInstrumentAbbreviation
Indicates that one entity is the standard shortened or abbreviated form of the name of another entity’s primary instrument.
-
B.
playedInstrument
chosen
Indicates that an entity performed or used a particular musical instrument.
-
C.
typeOfInstrument
Indicates the specific kind or category of instrument associated with an entity.
-
D.
secondaryInstrument
Indicates that an entity uses or is associated with a second, supporting instrument in addition to a primary one.
-
E.
notableInstrument
Indicates that an entity is especially known for playing or being associated with a particular musical instrument.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbfeb52081909c38103beb5dbdcd |
completed | March 8, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69adc04ec36c8190bd5b944d4f4d32aa |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.