Triple

T9787742
Position Surface form Disambiguated ID Type / Status
Subject Bullseye E237530 entity
Predicate affiliation P10 FINISHED
Object Woody's Roundup gang E326070 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: Woody's Roundup gang | Statement: [Bullseye, affiliation, Woody's Roundup gang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woody's Roundup gang
Context triple: [Bullseye, affiliation, Woody's Roundup gang]
  • A. Woody's steed
    Bullseye is the loyal toy horse from the Toy Story franchise who serves as Woody’s faithful companion and mount.
  • B. Woody's Roundup chosen
    Woody's Roundup is a family-friendly, Toy Story–themed attraction centered on Woody and his cowboy world, offering an immersive play experience within Disney’s Toy Story Land.
  • C. Wanz
    Wanz is an American singer best known for providing the soulful hook on Macklemore & Ryan Lewis's hit single "Thrift Shop."
  • D. Timon and Pumbaa
    Timon and Pumbaa are a comedic meerkat–warthog duo from Disney’s The Lion King franchise, known for their carefree philosophy and close friendship with Simba.
  • E. Woody
    Woody is the commonly used nickname of American businessman and New York Jets owner Woody Johnson.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda211b0608190bc8ceb905d02db83 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc4e30bc81909b1dce4a0cc69991 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:27 p.m.