Triple

T3378310
Position Surface form Disambiguated ID Type / Status
Subject Spyfall E71118 entity
Predicate hasPart P35 FINISHED
Object Spyfall, Part 2 E71118 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: Spyfall, Part 2 | Statement: [Spyfall, hasPart, Spyfall, Part 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spyfall, Part 2
Context triple: [Spyfall, hasPart, Spyfall, Part 2]
  • A. Spyfall chosen
    Spyfall is a two-part Doctor Who television story featuring the Thirteenth Doctor facing a global conspiracy involving mysterious alien beings and the return of the Master.
  • B. SPY
    SPY is the SPDR S&P 500 ETF, a widely traded fund that tracks the performance of the S&P 500 stock market index.
  • C. 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.
  • D. Spies
    Spies is a 1928 German silent espionage thriller film directed by Fritz Lang, renowned for its intricate plotting, innovative visual style, and influence on the spy genre.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2eacb5c81908071a1dacc9a897a completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bc17dd881908fc5fb0d4a23f40f completed March 12, 2026, 11:26 p.m.
Created at: March 8, 2026, 3:14 p.m.