Triple

T12045629
Position Surface form Disambiguated ID Type / Status
Subject Azariel Blanchard Miller E286778 entity
Predicate hasMiddleName P143 FINISHED
Object Blanchard E299041 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: Blanchard | Statement: [Azariel Blanchard Miller, hasMiddleName, Blanchard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blanchard
Context triple: [Azariel Blanchard Miller, hasMiddleName, Blanchard]
  • A. Blanchard chosen
    Blanchard is a French surname borne by numerous notable figures, including economists, politicians, and artists.
  • B. Leblanc
    Leblanc is an alias used by Jean Valjean, the protagonist of Victor Hugo's novel "Les Misérables," to conceal his identity.
  • C. Tremblay
    Tremblay is a common French-Canadian surname, particularly prevalent in Quebec and associated with numerous public figures in sports, politics, and the arts.
  • D. Bachardy
    Bachardy is the surname of American portrait artist and writer Don Bachardy, known for his long partnership with author Christopher Isherwood.
  • E. Aspremont
    Aspremont is a small picturesque commune in southeastern France, situated in the hills above Nice in the Alpes-Maritimes department.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9041fe3b0819094b82a6b17ac59c3 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49db574bc8190a0f2f858a2ff788d completed May 1, 2026, 12:33 p.m.
Created at: April 8, 2026, 9:47 p.m.