Triple

T20060977
Position Surface form Disambiguated ID Type / Status
Subject Aimes E499470 entity
Predicate worksForInStory P5820 FINISHED
Object The Agency 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: The Agency | Statement: [Aimes, worksForInStory, The Agency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Agency
Context triple: [Aimes, worksForInStory, The Agency]
  • A. The Agency chosen
    The Agency is an early-2000s American television drama series that follows the inner workings and covert operations of the CIA.
  • B. The Bureau
    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.
  • C. The Bureau
    The Bureau is a British film and television production company known for producing acclaimed independent and arthouse films.
  • D. The Organization
    The Organization is a secretive spy agency in the Disney Channel series "K.C. Undercover," for which teenage protagonist K.C. Cooper and her family work as undercover operatives.
  • E. The Double Agent
    The Double Agent is a critical work by literary critic R. P. Blackmur that explores the complex relationship between poetic form and meaning in modern literature.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6637601dc8190a07fc20844093cb7 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:38 p.m.