Triple

T10753506
Position Surface form Disambiguated ID Type / Status
Subject Marc-André E253629 entity
Predicate derivesFromName P63662 FINISHED
Object André E24111 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: André | Statement: [Marc-André, derivesFromName, André]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: André
Context triple: [Marc-André, derivesFromName, André]
  • A. André chosen
    André is a given name of French origin commonly used in various languages as a form of "Andrew."
  • B. André David
    André David was one of the discoverers of the prehistoric painted cave of Pech Merle in southwestern France.
  • C. André Pascal
    André Pascal was a notable French figure, likely a politician or public servant, after whom Rue André Pascal in Paris is named.
  • D. Hervé
    Hervé is a French given name, often considered a variant of the English name Harvey, and is commonly used for males in French-speaking regions.
  • E. Christophe
    Christophe is a French theoretical physicist and science communicator known for his popular science books and collaborations with Stephen Hawking.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71dc2543c8190bb060aa7a1fed6a6 completed April 9, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69de2338b2cc8190ad40ff9a421a4152 completed April 14, 2026, 11:21 a.m.
Created at: April 8, 2026, 9:15 p.m.