Triple
T10973543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Tate |
E259307
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Jean-Marc Fontaine |
E899887
|
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-Marc Fontaine | Statement: [John Tate, notableStudent, Jean-Marc Fontaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Marc Fontaine Context triple: [John Tate, notableStudent, Jean-Marc Fontaine]
-
A.
Jean-Marc Fontaine
chosen
Jean-Marc Fontaine was a French mathematician known for his foundational work in p-adic Hodge theory and arithmetic geometry.
-
B.
Laurent Brosse
Laurent Brosse is a French local politician who serves as the mayor of the suburban Parisian town of Conflans-Sainte-Honorine.
-
C.
Matthieu Rougé
Matthieu Rougé is a French Roman Catholic prelate who serves as the bishop of the Diocese of Nanterre.
-
D.
Mathieu Froment
Mathieu Froment is the central character of Émile Zola’s novel "Fécondité," embodying the author’s exploration of family, morality, and social responsibility in turn-of-the-century France.
-
E.
Arnaud Vaillant
Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719c16648190ab5a87abb1c61990 |
completed | April 9, 2026, 9:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d548b4481909dc73f834c704d44 |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:24 p.m.