Triple
T13515091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Philippe Perrin |
E322738
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Jean-Philippe |
E518228
|
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-Philippe | Statement: [Jean-Philippe Perrin, hasGivenName, Jean-Philippe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Philippe Context triple: [Jean-Philippe Perrin, hasGivenName, Jean-Philippe]
-
A.
Jean-Philippe
chosen
Jean-Philippe is a French masculine given name most famously borne by the Baroque composer Jean-Philippe Rameau.
-
B.
Christophe Marie
Christophe Marie was a 17th-century French engineer and entrepreneur best known for designing and overseeing the construction of the Pont Marie bridge in Paris.
-
C.
Phillippe
Phillippe is a given name and surname, typically a French-influenced variant of Philip, used for both real and fictional individuals.
-
D.
Philippe-Antoine
Philippe-Antoine is a French given name historically borne by notable figures such as the revolutionary-era politician and jurist Merlin de Douai.
-
E.
François-Paul
François-Paul is the given name of François-Paul Brueys d’Aigalliers, a French naval officer and admiral who served during the French Revolutionary Wars.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa0ed508190b2855171b1945e84 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76ba835f08190bdc21de864e0fcc8 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.