Triple
T38386908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De l’aube à midi sur la mer |
E899602
|
entity |
| Predicate | premiereCityOfLargerWork |
P64741
|
FINISHED |
| Object | 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: Paris | Statement: [De l’aube à midi sur la mer, premiereCityOfLargerWork, Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: premiereCityOfLargerWork Context triple: [De l’aube à midi sur la mer, premiereCityOfLargerWork, Paris]
-
A.
premiereTheatreOfWork
Indicates the theatre where a work (such as a play or performance) was first premiered.
-
B.
premiereInstitution
Indicates that an entity had its first public showing, release, or debut at a particular institution or venue.
-
C.
premiereWithWork
Indicates that a performance, event, or production debuts at the same time as (or as part of) the first public presentation of a specific work.
-
D.
premieredInWorkPremiereYear
Indicates the year in which a work (such as a performance, film, or composition) had its first public premiere.
-
E.
cityForPremieresOf
chosen
Indicates the city where premieres of a work, event, or production take place.
- 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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.