Triple

T10248425
Position Surface form Disambiguated ID Type / Status
Subject Mathieu Amalric E240278 entity
Predicate notableWork P4 FINISHED
Object The Bureau E634887 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: The Bureau | Statement: [Mathieu Amalric, notableWork, The Bureau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Bureau
Context triple: [Mathieu Amalric, notableWork, The Bureau]
  • A. The Bureau chosen
    The Bureau is a French television crime drama series starring Gilbert Melki as a member of France’s external intelligence agency, acclaimed for its realistic portrayal of espionage.
  • B. The Agency
    The Agency is an early-2000s American television drama series that follows the inner workings and covert operations of the CIA.
  • C. Special Service Bureau
    The Special Service Bureau was a specialized government agency responsible for intelligence, security, and investigative functions within its jurisdiction.
  • D. The Inspector General
    The Inspector General is a satirical play by Nikolai Gogol that lampoons political corruption and bureaucratic incompetence in provincial Russia.
  • E. L’Affaire
    L’Affaire is a comic novel by Diane Johnson that satirizes American and European cultural clashes through a mystery set in the French Alps.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23b620c8190b8a72d0eb0d16b93 completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7ade8448190830d950b7cee0c34 completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:27 a.m.