Triple
T21741321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Fouché |
E536664
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Le Pellerin |
—
|
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: Le Pellerin | Statement: [Joseph Fouché, placeOfBirth, Le Pellerin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Pellerin Context triple: [Joseph Fouché, placeOfBirth, Le Pellerin]
-
A.
Le Pellerin
chosen
Le Pellerin is a commune in western France situated along the Loire River in the Loire-Atlantique department.
-
B.
Le Transperceneige
Le Transperceneige is a French post-apocalyptic graphic novel series that follows the last remnants of humanity surviving aboard a perpetually moving train in a frozen, uninhabitable world.
-
C.
Le Vanneur
Le Vanneur is the French title of the painting commonly known in English as "The Winnower," depicting a rural laborer winnowing grain.
-
D.
La Pacaudière
La Pacaudière is a small French commune located in the Allier department in central France.
-
E.
De Gautet
De Gautet is a fictional henchman and ally of Duke Michael of Strelsau in Anthony Hope’s adventure novel "The Prisoner of Zenda."
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a7250d48190aa63f89db017ef70 |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 16, 2026, 6:49 p.m.