Triple
T27849082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nian Nu Jiao · Chibi Huai Gu |
E703900
|
entity |
| Predicate | tunePattern |
P84026
|
FINISHED |
| Object | Nian Nu Jiao |
—
|
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: Nian Nu Jiao | Statement: [Nian Nu Jiao · Chibi Huai Gu, tunePattern, Nian Nu Jiao]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tunePattern Context triple: [Nian Nu Jiao · Chibi Huai Gu, tunePattern, Nian Nu Jiao]
-
A.
melodicPattern
chosen
Indicates a recurring sequence of musical tones or intervals that forms a recognizable melodic structure within a piece.
-
B.
tuning
Indicates the adjustment or calibration of something’s parameters or settings to achieve desired performance or behavior.
-
C.
trackPattern
Indicates that one entity follows, monitors, or records the behavior or state of another according to a defined pattern or sequence.
-
D.
tuningType
Indicates the specific method or configuration by which something is adjusted or calibrated to achieve a desired performance or behavior.
-
E.
tuningMethod
Indicates the method or approach used to adjust or optimize something’s parameters or performance.
- 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63902f71c8190b26ac186ad00acbf |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 6:09 p.m.