Triple
T18832402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Le Jeune |
E460566
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Paul Le Jeune |
—
|
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: Paul Le Jeune | Statement: [Paul Le Jeune, name, Paul Le Jeune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Le Jeune Context triple: [Paul Le Jeune, name, Paul Le Jeune]
-
A.
Paul Le Jeune
chosen
Paul Le Jeune was a 17th-century French Jesuit missionary and writer who played a key role in documenting Indigenous cultures and promoting Catholic evangelization in early New France.
-
B.
Paul Flamand
Paul Flamand was a French publisher best known as a co-founder and influential director of the prominent publishing house Éditions du Seuil.
-
C.
Philippe de Girard
Philippe de Girard was a French engineer and inventor best known for developing an early flax-spinning machine that contributed to the mechanization of the textile industry.
-
D.
Etienne Guibourg
Etienne Guibourg was a 17th-century French Catholic priest infamous for his alleged role in black masses and occult rituals during the Affair of the Poisons under Louis XIV.
-
E.
Philippe Duquesne
Philippe Duquesne is a French actor known for his work in film, television, and theater, often appearing in comedies and character roles.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99a792c81908b9a0741ef6ee782 |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.