Triple
T24093758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quatuor pour la fin du temps |
E596857
|
entity |
| Predicate | premiereAudienceType |
P155050
|
FINISHED |
| Object | prisoners of war |
—
|
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: prisoners of war | Statement: [Quatuor pour la fin du temps, premiereAudienceType, prisoners of war]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: premiereAudienceType Context triple: [Quatuor pour la fin du temps, premiereAudienceType, prisoners of war]
-
A.
premiereType
Indicates the specific kind or category of a premiere event associated with an entity (such as world premiere, national premiere, or regional premiere).
-
B.
auditoriumType
Indicates the specific kind or category of auditorium associated with an entity.
-
C.
theaterType
Indicates the specific kind or category of theater associated with an entity (e.g., cinema, opera house, drama theater).
-
D.
audienceComposition
Indicates the makeup or distribution of different groups or segments within an audience in relation to something.
-
E.
audienceSetting
Indicates the context or environment in which an audience is situated or addressed.
- 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_69e288c548048190a5c1018da1166a21 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dd221ebc8190801fa6c08987c126 |
completed | April 29, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17b58012c81909106b332db399023 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 10:57 p.m.