Triple

T8002286
Position Surface form Disambiguated ID Type / Status
Subject Geoffrey Streatfeild E186278 entity
Predicate notableWork P4 FINISHED
Object Spooks E199127 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: Spooks | Statement: [Geoffrey Streatfeild, notableWork, Spooks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spooks
Context triple: [Geoffrey Streatfeild, notableWork, Spooks]
  • A. Spooks chosen
    Spooks is a British television spy drama series centered on the high-stakes operations of MI5 officers.
  • B. 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.
  • C. 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.
  • D. Spies
    Spies is a German-origin surname most notably associated with August Spies, a prominent 19th-century anarchist and labor activist involved in the Haymarket affair.
  • E. Spies
    Spies is a novel by Michael Frayn that explores childhood memory, secrecy, and the blurred line between imagination and reality in wartime England.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf2918081909ee0afab11caed63 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe11aefc88190bcf614e936455927 completed March 31, 2026, 2:58 p.m.
Created at: March 30, 2026, 5:18 p.m.