Triple
T16162466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Music of the Night |
E392210
|
entity |
| Predicate | includedOnCastRecording |
P117505
|
FINISHED |
| Object | The Phantom of the Opera original London cast recording |
—
|
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: The Phantom of the Opera original London cast recording | Statement: [The Music of the Night, includedOnCastRecording, The Phantom of the Opera original London cast recording]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedOnCastRecording Context triple: [The Music of the Night, includedOnCastRecording, The Phantom of the Opera original London cast recording]
-
A.
includesCastMembersFrom
Indicates that one entity’s cast list contains one or more cast members who also appear in the cast list of another entity.
-
B.
includedInFilm
Indicates that one entity (such as a scene, segment, or element) is contained within or forms part of a particular film.
-
C.
hasCast
Indicates that a creative work features a particular group of performers or actors.
-
D.
memberOfTelevisionShowCast
Indicates that a person is a member of the cast of a particular television show.
-
E.
wasRecordedIn
chosen
Indicates that an event, action, or piece of information was documented or captured within a specific record, medium, or recording session.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5ffba88190b9dc7bb9afb6fdf2 |
completed | April 17, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69e1828abb608190a99d86bce1d77de2 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.