Triple

T16022757
Position Surface form Disambiguated ID Type / Status
Subject Russell Ziskey E388643 entity
Predicate appearsIn P795 FINISHED
Object Stripes E77918 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: Stripes | Statement: [Russell Ziskey, appearsIn, Stripes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stripes
Context triple: [Russell Ziskey, appearsIn, Stripes]
  • A. Stripes chosen
    Stripes is a 1981 American comedy film starring Bill Murray as a slacker who impulsively joins the U.S. Army, leading to a series of irreverent misadventures.
  • B. The Striped Ones
    The Striped Ones is a nickname referring to the Mexican football club C.F. Monterrey, known for its distinctive striped jerseys.
  • C. Invisible Stripes
    Invisible Stripes is a 1939 American crime drama film about an ex-convict’s struggle to go straight after his release from prison.
  • D. The Green Stripe
    The Green Stripe is a 1905 Fauvist portrait by Henri Matisse of his wife Amélie, notable for its bold use of a green line to divide and model the face.
  • E. Rainbow
    "Rainbow" is a popular 1928 Broadway musical composed by Vincent Youmans, known for its melodic score and contribution to early American musical theatre.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18324bf308190b80bb445c7911198 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf2f7c4c8190b1290ac28aad8cd0 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.