Triple
T22885765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Rendez-Vous |
E567598
|
entity |
| Predicate | meaning |
P129
|
FINISHED |
| Object | The Meeting |
—
|
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: The Meeting | Statement: [Le Rendez-Vous, meaning, The Meeting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Meeting Context triple: [Le Rendez-Vous, meaning, The Meeting]
-
A.
The Meeting
"The Meeting" is a painting by 19th-century Russian-born artist and diarist Marie Bashkirtseff, reflecting her realist style and interest in contemporary social scenes.
-
B.
The Meeting
chosen
"The Meeting" is a song by the progressive rock band Yes, known for its gentle, piano-led, and introspective style.
-
C.
The Meeting Point
The Meeting Point is a novel by Barbadian-Canadian writer Austin Clarke that explores the lives and struggles of Caribbean domestic workers in Toronto.
-
D.
The Meeting Place
The Meeting Place is a song by the English rock band XTC from their 1986 album "Skylarking."
-
E.
The Big Meeting
The Big Meeting is the popular name for the Durham Miners' Gala, a historic annual gathering in Durham, England celebrating the region’s mining heritage, trade unionism, and labor movement.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc0cdb081908107d40069d9735f |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.