Triple

T16716706
Position Surface form Disambiguated ID Type / Status
Subject Wendie Malick E406242 entity
Predicate film P9968 FINISHED
Object Racing Stripes E818896 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: Racing Stripes | Statement: [Wendie Malick, film, Racing Stripes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Racing Stripes
Context triple: [Wendie Malick, film, Racing Stripes]
  • A. Racing Stripes chosen
    Racing Stripes is a 2005 family sports comedy film about a young zebra who dreams of becoming a racehorse.
  • B. 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.
  • C. Stripes
    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.
  • D. Three stripes
    Three stripes is the iconic and minimalist branding motif used by Adidas, instantly recognizable as a symbol of the sportswear company worldwide.
  • E. 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.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38656b66081909f2c2a8971c45aee completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d3da12881909296926edde5b723 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.