Triple
T8892667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misty |
E211716
|
entity |
| Predicate | originallyInstrumental |
P85579
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Misty, originallyInstrumental, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyInstrumental Context triple: [Misty, originallyInstrumental, true]
-
A.
isInstrumental
Indicates that one entity serves as the means, tool, or instrument by which another entity performs an action or achieves an outcome.
-
B.
instrumentalIn
Indicates that one entity serves as a crucial means, tool, or contributing factor in bringing about an outcome or enabling another entity’s action or effect.
-
C.
originalSong
Indicates that one entity is the source or initial version of a song from which another entity (such as a cover, remix, or adaptation) is derived.
-
D.
hasNoInstrumentalAccompaniment
Indicates that an action or event occurs without any instrumental musical accompaniment.
-
E.
containsOriginalSongs
Indicates that one entity includes or features songs that are original compositions rather than covers or adaptations.
- F. None of above. chosen
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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61bb46c881909e579bb1926e5204 |
completed | April 1, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2aec04819093c932fe51c0f08d |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5d6e54808190af4156edd4c8ffbc |
completed | March 31, 2026, 11:49 p.m. |
Created at: March 30, 2026, 6:54 p.m.