Triple
T7577484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hunchback of Notre Dame (stage musical) |
E179394
|
entity |
| Predicate | includesChoralWriting |
P4009
|
FINISHED |
| Object | large onstage choir |
—
|
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: large onstage choir | Statement: [The Hunchback of Notre Dame (stage musical), includesChoralWriting, large onstage choir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesChoralWriting Context triple: [The Hunchback of Notre Dame (stage musical), includesChoralWriting, large onstage choir]
-
A.
hasChoir
chosen
Indicates that an entity possesses, maintains, or is associated with a choir.
-
B.
hasChorusBy
Indicates that something (typically a musical work or song) includes a chorus section that is performed, written, or provided by a specified entity.
-
C.
hasChoralFoundation
Indicates that an entity possesses or is associated with an established choral institution or choir as a formal foundation.
-
D.
notableChorale
Indicates that a subject is recognized for or associated with a significant or distinguished chorale work or composition.
-
E.
hasChorus
Indicates that something (typically a song or musical piece) includes a chorus section as part of its structure.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f94cdbec81909f2ba7ce04e49931 |
completed | March 27, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69c6f4de77048190b8769e717fdcf8e7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:51 p.m.