Triple
T22442842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandrine Bonnaire |
E554796
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Gannat |
—
|
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: Gannat | Statement: [Sandrine Bonnaire, placeOfBirth, Gannat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gannat Context triple: [Sandrine Bonnaire, placeOfBirth, Gannat]
-
A.
Gannat
chosen
Gannat is a small town in central France known for its rich paleontological heritage and traditional cultural festivals.
-
B.
Gurune
Gurune is a Gur language spoken primarily in northern Ghana and neighboring regions, known for its rich oral traditions and tonal phonology.
-
C.
Ganthet
Ganthet is a wise and compassionate Guardian of the Universe from DC Comics, best known for mentoring Green Lanterns and challenging the rigid traditions of his fellow Guardians.
-
D.
Girga
Girga is an ancient town in Upper Egypt, historically significant as a regional center along the Nile.
-
E.
Ghogha
Ghogha is a coastal town in Gujarat, India, known as a historic port settlement near Bhavnagar on the Gulf of Khambhat.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae40f9081908674015beb33f74e |
completed | April 29, 2026, 1:12 a.m. |
Created at: April 16, 2026, 8:47 p.m.