Triple
T7726374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peking opera |
E175140
|
entity |
| Predicate | musicalEnsembleIncludes |
P55033
|
FINISHED |
| Object | jinghu |
—
|
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: jinghu | Statement: [Peking opera, musicalEnsembleIncludes, jinghu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalEnsembleIncludes Context triple: [Peking opera, musicalEnsembleIncludes, jinghu]
-
A.
hasMusicalEnsembleType
Indicates that an entity is associated with or classified as a particular type of musical ensemble.
-
B.
hasMusicalEnsemble
chosen
Indicates that one entity is associated with or includes a particular musical ensemble (such as a band, orchestra, or group) as part of its activities or composition.
-
C.
usesMusicEnsemble
Indicates that one entity employs or incorporates a particular music ensemble in carrying out an action, function, or production.
-
D.
isPartOfEnsemble
Indicates that an entity belongs to, or is a member of, a larger group or ensemble.
-
E.
notableEnsemble
Indicates that an entity is a prominent or significant member of a particular group, band, or ensemble.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7074eca4c8190bd51fd1b450729e8 |
completed | March 27, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69c7016a6cf88190b53bf4b958f0f302 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:05 p.m.