Triple
T22095992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basset |
E546033
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Henri Basset |
—
|
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: Henri Basset | Statement: [Basset, hasNotableBearer, Henri Basset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henri Basset Context triple: [Basset, hasNotableBearer, Henri Basset]
-
A.
Henri Ducard
Henri Ducard is a master strategist and combat trainer who serves as a key leader and mentor figure within the League of Shadows in the Batman universe.
-
B.
Gabriel Le Moyne
Gabriel Le Moyne was a member of the prominent French-Canadian Le Moyne family, known for producing influential colonial figures in New France.
-
C.
Pierre Boulanger
Pierre Boulanger is a French actor best known for his breakout role as the young lead in the film "Monsieur Ibrahim."
-
D.
René Basset
chosen
René Basset was a French orientalist and linguist known for his pioneering work on Berber and Arabic languages and North African cultures.
-
E.
Xavier de Guillebon
Xavier de Guillebon is a French actor known for his supporting roles in film and television, including appearances in international productions.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e8f1f48190a5f1d9e96a6de688 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:30 p.m.