Triple
T22496822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew |
E556162
|
entity |
| Predicate | equivalentNameInLanguage |
P63334
|
FINISHED |
| Object | Matthieu (French) |
—
|
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: Matthieu (French) | Statement: [Matthew, equivalentNameInLanguage, Matthieu (French)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthieu (French) Context triple: [Matthew, equivalentNameInLanguage, Matthieu (French)]
-
A.
Matthieu
chosen
Matthieu is a French masculine given name, equivalent to Matthew in English.
-
B.
Matthieu of L’Appartement
Matthieu of L’Appartement is a character who serves as the inspiration for the character Luke in another work.
-
C.
Alain (French)
Alain is the French given name equivalent to the English name Alan, commonly used for males in French-speaking countries.
-
D.
Benoît
Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
-
E.
Jean-Marie
Jean-Marie is a French given name most notably borne by Nobel Prize–winning chemist Jean-Marie Lehn.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb2644c819094864bd88bcebcbd |
completed | April 29, 2026, 1:19 a.m. |
Created at: April 16, 2026, 8:50 p.m.