Triple
T26109012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Don’t Want It |
E658630
|
entity |
| Predicate | musicalTheatreFranchise |
P111845
|
FINISHED |
| Object | The King and I |
—
|
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: The King and I | Statement: [I Don’t Want It, musicalTheatreFranchise, The King and I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalTheatreFranchise Context triple: [I Don’t Want It, musicalTheatreFranchise, The King and I]
-
A.
musicalTheatreWork
Indicates that one entity is a musical theatre work (such as a musical or operetta) associated with or characterized by the other entity.
-
B.
musicalTheatreType
Indicates the specific category or style of musical theatre to which a work, production, or performance belongs.
-
C.
continuesFranchiseMusicalStyle
Indicates that a work maintains and carries forward the established musical style characteristic of its franchise.
-
D.
hasMusicalTheatreOrigin
Indicates that something originates from, was first created for, or is primarily derived from musical theatre.
-
E.
broadwayMusicalNumber
chosen
Indicates that one entity is a specific musical number (song or performance piece) that appears within a Broadway musical production represented by the other entity.
- 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_69ee5bc20298819099a42be042eb2349 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 26, 2026, 8 p.m.