Triple

T14508688
Position Surface form Disambiguated ID Type / Status
Subject Graydon Carter E340334 entity
Predicate coFounded P104 FINISHED
Object Spy magazine E491413 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: Spy magazine | Statement: [Graydon Carter, coFounded, Spy magazine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spy magazine
Context triple: [Graydon Carter, coFounded, Spy magazine]
  • A. Spy magazine chosen
    Spy magazine was a satirical and investigative American magazine known for its sharp, irreverent coverage of media, politics, and high society in the 1980s and 1990s.
  • B. Spin magazine
    Spin magazine is an American music and culture publication known for its influential coverage of alternative rock scenes, including the rise of Seattle grunge in the late 1980s and early 1990s.
  • C. Sur magazine
    Sur magazine was an influential 20th-century Argentine literary journal that became a central platform for modernist and avant-garde writers in Latin America and beyond.
  • D. 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.
  • E. Mad magazine
    Mad magazine is a long-running American humor and satire publication known for its parodies of popular culture, politics, and entertainment.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e40e44819084f323f8f9982b75 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da26a308190bf86ed1edbe8d57e completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.