Triple
T22095066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patachou |
E546004
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Patachou |
—
|
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: Patachou | Statement: [Patachou, name, Patachou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patachou Context triple: [Patachou, name, Patachou]
-
A.
Patachou
chosen
Patachou was a celebrated French singer, actress, and Parisian cabaret owner known for her warm voice and interpretations of classic chanson.
-
B.
Pácora
Pácora is a Colombian town and municipality in the department of Caldas, known for its coffee-growing tradition and colonial architecture in the Andean region.
-
C.
Moraya
Moraya is a locality in Bolivia historically noted as the place where independence leader Juan Antonio Álvarez de Arenales died.
-
D.
Naranjal
Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
-
E.
Pasochoa
Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e82c1481908701f255b834f192 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.