Triple
T20166372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Théophile Seyrig |
E491833
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Seyrig |
—
|
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: Seyrig | Statement: [Théophile Seyrig, familyName, Seyrig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seyrig Context triple: [Théophile Seyrig, familyName, Seyrig]
-
A.
Seyrig
chosen
Seyrig is the surname of Delphine Seyrig, the acclaimed French-Lebanese actress and feminist icon known for her roles in European art cinema.
-
B.
Sarreyer
Sarreyer is a small alpine village in the Swiss canton of Valais, situated within the municipality of Val de Bagnes.
-
C.
Berriane
Berriane is a town in Algeria known as part of the historic M’zab oasis region, characterized by its traditional architecture and Saharan environment.
-
D.
Senez
Senez is a small commune in southeastern France known for its historic cathedral and picturesque setting in the Alpes-de-Haute-Provence region.
-
E.
Marassi
Marassi is a residential district of Genoa, Italy, best known for hosting the historic Stadio Luigi Ferraris football stadium.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66844e49081909b7e9ec2b65cc61d |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.