Triple
T21037485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Philippe |
E518228
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Jean Philippe |
—
|
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: Jean Philippe | Statement: [Jean-Philippe, hasVariant, Jean Philippe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Philippe Context triple: [Jean-Philippe, hasVariant, 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.
Jean Louis
Jean Louis is the given name of Louis Barthou, a prominent French politician and statesman of the late 19th and early 20th centuries.
-
C.
Jean Louis
Jean Louis was a renowned French-born American costume designer celebrated for his glamorous Hollywood film and television wardrobe creations.
-
D.
Jean Baptiste
Jean Baptiste is a French given name traditionally associated with religious and historical figures, particularly in Francophone cultures.
-
E.
Jacques François
Jacques François was a French actor known for his supporting roles in mid-20th-century European and American films.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcecf2508190a7647abb3c59debb |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:03 p.m.