Triple
T6448328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil |
E139799
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Philippe |
E207358
|
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: Philippe | Statement: [Phil, hasVariant, Philippe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philippe Context triple: [Phil, hasVariant, Philippe]
-
A.
Phillippe
chosen
Phillippe is a given name and surname, typically a French-influenced variant of Philip, used for both real and fictional individuals.
-
B.
Édouard
Édouard is the French form of the given name Edward, commonly used in French-speaking countries.
-
C.
Ludovic
Ludovic is a masculine given name, used in various European languages, that is etymologically related to the name Ludwig.
-
D.
Jean-Philippe
Jean-Philippe is a French masculine given name most famously borne by the Baroque composer Jean-Philippe Rameau.
-
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_69c008b301948190a35854e5284dc822 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069b1a61c81908610264c098d25b0 |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65392a6c08190b868fab12260d6c2 |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:47 p.m.