Triple
T23997357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Don’t Dance |
E594137
|
entity |
| Predicate | isMusicalNumberIn |
P115418
|
FINISHED |
| Object | High School Musical 2 |
—
|
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: High School Musical 2 | Statement: [I Don’t Dance, isMusicalNumberIn, High School Musical 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMusicalNumberIn Context triple: [I Don’t Dance, isMusicalNumberIn, High School Musical 2]
-
A.
hasMusicalNumberIn
chosen
Indicates that a musical number (song or performance) appears within or is featured in a specific work, scene, or production.
-
B.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
C.
isMusicalWork
Indicates that one entity is a musical composition or piece created as an artistic work.
-
D.
hasMusicalForm
Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
-
E.
singsInNumber
Indicates that an entity participates as a singer or performer in a specific musical number or song within a 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_69e288b9ecf08190b8c94a278f5674fe |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d39066f8819096d13bfdd0a047fc |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:38 p.m.