Triple

T3641167
Position Surface form Disambiguated ID Type / Status
Subject Bézu Fache E77189 entity
Predicate suspects P21473 FINISHED
Object Robert Langdon E72336 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: Robert Langdon | Statement: [Bézu Fache, suspects, Robert Langdon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Langdon
Context triple: [Bézu Fache, suspects, Robert Langdon]
  • A. Robert Langdon chosen
    Robert Langdon is a fictional Harvard symbologist and the protagonist of Dan Brown’s thriller novels, known for unraveling historical and religious conspiracies.
  • B. Trajan Langdon
    Trajan Langdon is a former professional basketball player and NBA executive known for his front-office leadership, including his tenure as general manager of the New Orleans Pelicans.
  • C. Royston Langdon
    Royston Langdon is an English musician best known as the lead singer and bassist of the alternative rock band Spacehog.
  • D. Milo William Langdon
    Milo William Langdon is the son of American actress and model Liv Tyler.
  • E. Robert Langdon film series
    The Robert Langdon film series is a collection of mystery-thriller movies based on Dan Brown’s novels, following symbologist Robert Langdon as he unravels historical and religious conspiracies.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc357c3308190bd8801d68244a53e completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f2e464881909d62dd2fad811a83 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:24 p.m.