Triple
T13833310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fire Shut Up in My Bones (opera) |
E332459
|
entity |
| Predicate | metOperaProductionSeason |
P111681
|
FINISHED |
| Object | 2021–2022 season |
—
|
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: 2021–2022 season | Statement: [Fire Shut Up in My Bones (opera), metOperaProductionSeason, 2021–2022 season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metOperaProductionSeason Context triple: [Fire Shut Up in My Bones (opera), metOperaProductionSeason, 2021–2022 season]
-
A.
inOperaRepertoire
Indicates that a musical work is included as part of the standard or active repertoire performed in opera productions.
-
B.
operaAct
Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
-
C.
associatedOpera
Indicates that there is a relationship linking an entity to an opera with which it is connected or related (e.g., as subject, inspiration, or context).
-
D.
broadwaySeason
Indicates that one entity is a Broadway production and the other is the specific Broadway season during which it was performed or active.
-
E.
estimatedNumberOfOperas
Indicates the approximate count of operas associated with an entity, rather than an exact, verified number.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de029a34bc8190ae892ef7b09fc9e9 |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:13 p.m.