Triple

T21463984
Position Surface form Disambiguated ID Type / Status
Subject Jenny Agutter E529543 entity
Predicate notableWork P4 FINISHED
Object Spooks (MI-5) (TV series) 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: Spooks (MI-5) (TV series) | Statement: [Jenny Agutter, notableWork, Spooks (MI-5) (TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spooks (MI-5) (TV series)
Context triple: [Jenny Agutter, notableWork, Spooks (MI-5) (TV series)]
  • A. Spooks chosen
    Spooks is a British television spy drama series centered on the high-stakes operations of MI5 officers.
  • B. MI-5
    MI-5 is a British spy thriller film (also known as "Spooks: The Greater Good") based on the TV series "Spooks," featuring David Oyelowo in a prominent role.
  • C. MI-6
    MI-6 is a British intelligence agency in the Marvel Universe that handles international espionage and covert operations, often involving superhuman and mystical threats.
  • D. Line of Duty
    Line of Duty is a British crime drama television series that follows an anti-corruption police unit investigating complex and morally ambiguous cases within the force.
  • E. MI7
    MI7 is a fictional British intelligence agency portrayed in the Johnny English comedy film series as a parody of real-life organizations like MI5 and MI6.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f100fc819093999018f7d78443 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:09 p.m.