Triple
T16484219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luc Oursel |
E400396
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Luc Oursel |
E400396
|
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: Luc Oursel | Statement: [Luc Oursel, name, Luc Oursel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luc Oursel Context triple: [Luc Oursel, name, Luc Oursel]
-
A.
Luc Oursel
chosen
Luc Oursel was a French business executive best known for leading the nuclear energy company Areva during the early 2010s.
-
B.
Guy le Gros
Guy le Gros is another name for Pope Clement IV, the 13th-century head of the Catholic Church and ruler of the Papal States.
-
C.
Leo le Gris
Leo le Gris is a pseudonym of León de Greiff, the influential 20th-century Colombian poet known for his erudite, musical, and highly stylized verse.
-
D.
Léoncel
Léoncel is a small commune in southeastern France, situated in the Drôme department within the Auvergne-Rhône-Alpes region.
-
E.
Douzy
Douzy is a small commune in the Ardennes department of northern France, known for its rural character and cross-border ties, including a town twinning with Kaiserslautern in Germany.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e05bf448190947b9da15fd29d0a |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005820790c819088d953eeea09328d |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:13 a.m.