Triple
T28260009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dialogues des Carmélites |
E712557
|
entity |
| Predicate | firstFrenchPremierePlace |
P32700
|
FINISHED |
| Object | Opéra de Paris |
—
|
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: Opéra de Paris | Statement: [Dialogues des Carmélites, firstFrenchPremierePlace, Opéra de Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFrenchPremierePlace Context triple: [Dialogues des Carmélites, firstFrenchPremierePlace, Opéra de Paris]
-
A.
firstFrenchPremiereLocation
chosen
Indicates the location where an entity had its first premiere or initial public showing in France.
-
B.
firstFrenchPremiereDate
Indicates the date on which something (such as a work or event) was first premiered or publicly presented in France.
-
C.
firstFrenchPerformanceYear
Indicates the year in which something (such as a work, event, or performance) was first performed in France.
-
D.
firstRussianPremiereYear
Indicates the calendar year in which a work had its first premiere or initial public performance in Russia.
-
E.
premieredIn
Indicates that a creative work first publicly debuted or was initially presented in a particular place, event, or context.
- 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_69efb5207eb08190827e4c34048030b1 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69ffe01c9d3c819084c256bb3c81c0dc |
completed | May 10, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ffdfcc78b08190aa4493f13d62a531 |
completed | May 10, 2026, 1:30 a.m. |
Created at: April 27, 2026, 11:11 p.m.