Triple

T2614665
Position Surface form Disambiguated ID Type / Status
Subject Estelle Rosenbaum Blanc E58858 entity
Predicate familyName P18 FINISHED
Object Blanc E55361 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: Blanc | Statement: [Estelle Rosenbaum Blanc, familyName, Blanc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blanc
Context triple: [Estelle Rosenbaum Blanc, familyName, Blanc]
  • A. Blanc chosen
    Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
  • B. Blanco
    Blanco is a Spanish-language surname most notably associated with Mexican football legend and politician Cuauhtémoc Blanco.
  • C. Case White
    Case White was the German codename for the 1939 invasion of Poland that marked the beginning of World War II in Europe.
  • D. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • E. Biancocelesti
    Biancocelesti is the traditional nickname for Italian football club S.S. Lazio, referring to the team’s white and sky-blue colors.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87fb87c819093b02c67c76d51fd completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83eb8b088190b1ea47c6d42033c5 completed March 10, 2026, 2:37 a.m.
Created at: March 6, 2026, 9:50 p.m.