Triple

T20114680
Position Surface form Disambiguated ID Type / Status
Subject Blanchette Ferry Hooker Rockefeller E490425 entity
Predicate givenName P17 FINISHED
Object Blanchette 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: Blanchette | Statement: [Blanchette Ferry Hooker Rockefeller, givenName, Blanchette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blanchette
Context triple: [Blanchette Ferry Hooker Rockefeller, givenName, Blanchette]
  • A. Blanchette chosen
    Blanchette is a French feminine given name and diminutive form of Blanche, traditionally meaning "white" or "fair."
  • B. Madame Dambreuse
    Madame Dambreuse is a wealthy, sophisticated Parisian society woman who becomes one of the central love interests in Gustave Flaubert’s novel "Sentimental Education."
  • C. Arabelle
    Arabelle is a feminine given name, typically considered a variant of Arabella, used in various English-speaking and European cultures.
  • D. Magdelaine Gaidan
    Magdelaine Gaidan was an 18th-century French Protestant associated with the Huguenot pastor Paul Rabaut through their marriage.
  • E. Madame Flurrie
    Madame Flurrie is a theatrical, wind-controlling cloud spirit and party member who aids Mario with her powerful gale abilities in Paper Mario: The Thousand-Year Door.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666e3f2288190840d1eb431ac9a1b completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:29 p.m.