Triple
T23074196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Theatre musicals |
E575282
|
entity |
| Predicate | principalLibrettist |
P150849
|
FINISHED |
| Object | Guy Bolton |
—
|
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: Guy Bolton | Statement: [Princess Theatre musicals, principalLibrettist, Guy Bolton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: principalLibrettist Context triple: [Princess Theatre musicals, principalLibrettist, Guy Bolton]
-
A.
librettistOfOpera
Indicates that one entity is the librettist who wrote the text (libretto) for the specified opera.
-
B.
librettistOfWorkAppearingIn
Indicates that a person is the librettist responsible for the text of a work that appears within a larger composite work or collection.
-
C.
librettistOfParentWork
Indicates that one entity is the librettist who wrote the text (libretto) for the parent work associated with another entity.
-
D.
librettistNationality
Indicates the relationship between a librettist and the country or nationality with which they are associated.
-
E.
coAuthorOfLibrettoWith
Indicates that two or more individuals collaborated in writing the same libretto.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c61bb7c8190a3d9b1fba173cdff |
completed | April 29, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:56 p.m.