Triple
T20098736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lycée Lakanal |
E496475
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object | Paul Nizan |
—
|
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 Nizan | Statement: [Lycée Lakanal, hasNotableAlumni, Paul Nizan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Nizan Context triple: [Lycée Lakanal, hasNotableAlumni, Paul Nizan]
-
A.
Paul Nizan
chosen
Paul Nizan was a French philosopher, novelist, and political essayist associated with Marxism and the interwar intellectual left.
-
B.
Léon Jouhaux
Léon Jouhaux was a prominent French trade union leader and Nobel Peace Prize laureate who played a major role in the early 20th-century labor movement and social reforms in France.
-
C.
Maxime Maufra
Maxime Maufra was a French landscape and marine painter associated with the Pont-Aven School and known for his post-Impressionist style and vivid use of color.
-
D.
Paul Arrouet
Paul Arrouet is an American businessman best known as the husband of Dylan Lauren, the founder of Dylan’s Candy Bar and daughter of fashion designer Ralph Lauren.
-
E.
Jean Tournier
Jean Tournier was a French cinematographer known for his work on notable films including the political thriller "The Day of the Jackal."
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666e306c81909c0ef617e0f6fccf |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:25 p.m.