Triple

T1105368
Position Surface form Disambiguated ID Type / Status
Subject Meg Griffin E25476 entity
Predicate network P2637 FINISHED
Object Fox E2195 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: Fox | Statement: [Meg Griffin, network, Fox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fox
Context triple: [Meg Griffin, network, Fox]
  • A. Fox chosen
    Fox is a major American broadcast television network known for airing NFL games, including extensive coverage of NFC East matchups.
  • B. Fox
    Fox is a common English surname borne by numerous notable figures across fields such as politics, entertainment, and sports.
  • C. Fox
    The Fox were a Native American tribe of the Great Lakes region, closely allied with the Sauk and known for their resistance to U.S. expansion during the 18th and 19th centuries.
  • D. Virginia Fox
    Virginia Fox was an American silent film actress who appeared in numerous comedies in the 1910s and 1920s and later became known for her long marriage to film producer Darryl F. Zanuck.
  • E. Frank
    Frank is the given name of the renowned Canadian-American architect Frank Gehry, celebrated for his deconstructivist and sculptural building designs.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e21f048190bf4b63dd2c7c7641 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c4a402081908ee138257425a336 completed March 7, 2026, 4:03 p.m.
Created at: March 1, 2026, 7:43 p.m.