Triple
T36875300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Tina |
E911326
|
entity |
| Predicate | operaPeriodOfAdaptation |
P63539
|
FINISHED |
| Object | late 20th century opera |
—
|
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: late 20th century opera | Statement: [Miss Tina, operaPeriodOfAdaptation, late 20th century opera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operaPeriodOfAdaptation Context triple: [Miss Tina, operaPeriodOfAdaptation, late 20th century opera]
-
A.
operaPeriod
Indicates the historical or stylistic period during which an opera was composed or is classified.
-
B.
operaAdaptationPremiereYear
Indicates the year in which an opera adaptation of a work was first premiered.
-
C.
adaptationOfPeriod
chosen
Indicates that one entity is an adaptation or reinterpretation of another entity from a specific historical or cultural period.
-
D.
operaLibrettistOfAdaptation
Indicates that one entity is the librettist who wrote the text for an operatic adaptation of another work.
-
E.
operaAct
Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
- 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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a01c5c5dbb881909b19ba87a7760ee7 |
completed | May 11, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_6a01c549af98819098e0effd775b7710 |
completed | May 11, 2026, 12:02 p.m. |
Created at: May 3, 2026, 4:13 p.m.