Triple
T16029661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Marie Lehn |
E388810
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jean-Marie |
E435554
|
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: Jean-Marie | Statement: [Jean-Marie Lehn, givenName, Jean-Marie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Marie Context triple: [Jean-Marie Lehn, givenName, Jean-Marie]
-
A.
Jean-Marie
chosen
Jean-Marie is a French given name most notably borne by Nobel Prize–winning chemist Jean-Marie Lehn.
-
B.
Jean-Louis
Jean-Louis is a French masculine given name commonly used as a compound first name.
-
C.
Jean-Louis
Jean-Louis is the birth name of American novelist and Beat Generation icon Jack Kerouac.
-
D.
Jean-Louis
Jean-Louis is the given first name of the French Romantic painter Théodore Géricault, renowned for works such as "The Raft of the Medusa."
-
E.
Jean-Louis
Jean-Louis is the introspective, morally conflicted Catholic engineer who serves as the central protagonist in Éric Rohmer’s film "My Night at Maud’s."
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1832a56ec8190a47fd2cf83a42fd4 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbcfd39c81909bfddfe95f9ad7d2 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:56 a.m.