Triple
T13127425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gérard Brach |
E311880
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gérard Brach |
E311880
|
NE 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: Gérard Brach | Statement: [Gérard Brach, name, Gérard Brach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gérard Brach Context triple: [Gérard Brach, name, Gérard Brach]
-
A.
Gérard Brach
chosen
Gérard Brach was a French screenwriter and frequent Roman Polanski collaborator known for his work on numerous acclaimed European films.
-
B.
Yve-Alain Bois
Yve-Alain Bois is a prominent French art historian and critic known for his influential scholarship on 20th-century modernism and abstract art.
-
C.
Alain Glavieux
Alain Glavieux was a French engineer and information theorist best known as a co-inventor of turbo codes, a breakthrough in error-correcting coding that revolutionized digital communications.
-
D.
Michel Andrault
Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
-
E.
Pierre Manent
Pierre Manent is a French political philosopher known for his work on liberalism, democracy, and the intellectual history of modern Europe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819aac388190b59bf43cc6a49d0c |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28bdd6881909d01e550e99267e1 |
completed | May 3, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:07 p.m.