Triple
T36602213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central City Opera |
E902947
|
entity |
| Predicate | commissionedWorkLibrettist |
P186065
|
FINISHED |
| Object | John Latouche |
—
|
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: John Latouche | Statement: [Central City Opera, commissionedWorkLibrettist, John Latouche]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commissionedWorkLibrettist Context triple: [Central City Opera, commissionedWorkLibrettist, John Latouche]
-
A.
librettistOfWorkAppearingIn
Indicates that a person is the librettist responsible for the text of a work that appears within a larger composite work or collection.
-
B.
principalLibrettist
Indicates that one entity serves as the main librettist responsible for writing the text of a musical or operatic work for another entity.
-
C.
basedOnWorkLibrettist
Indicates that one work is based on another work specifically in terms of its libretto, identifying the source work whose libretto served as the basis.
-
D.
librettistOfParentWork
Indicates that one entity is the librettist who wrote the text (libretto) for the parent work associated with another entity.
-
E.
librettistOfOpera
Indicates that one entity is the librettist who wrote the text (libretto) for the specified opera.
- 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:11 p.m.