Triple
T13840968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mistinguett |
E332654
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mistinguett |
E332654
|
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: Mistinguett | Statement: [Mistinguett, name, Mistinguett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mistinguett Context triple: [Mistinguett, name, Mistinguett]
-
A.
Mistinguett
chosen
Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
-
B.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
-
C.
Mancioux
Mancioux is a small commune in southwestern France, located in the Haute-Garonne department within the Occitanie region.
-
D.
Mansois
Mansois is a local name for the red wine grape variety Fer Servadou, traditionally used in the wines of southwest France.
-
E.
Méjanelle
Méjanelle is a French wine-producing area recognized as a subregion within the broader Languedoc appellation in southern France.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02ae5e4c8190ad85ad2968bc71b2 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8f630d081909439e1cdc5d60430 |
completed | May 3, 2026, 9:07 p.m. |
Created at: April 9, 2026, 10:13 p.m.