Triple

T11492687
Position Surface form Disambiguated ID Type / Status
Subject Bruce Chatwin E272453 entity
Predicate notableWork P4 FINISHED
Object Utz E412874 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: Utz | Statement: [Bruce Chatwin, notableWork, Utz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Utz
Context triple: [Bruce Chatwin, notableWork, Utz]
  • A. Utz chosen
    Utz is a 1992 British drama film, based on Bruce Chatwin’s novel, about an eccentric porcelain collector in Communist-era Prague.
  • B. UTZ
    UTZ was a global certification program for sustainable farming, particularly known for coffee, cocoa, and tea, which later merged with the Rainforest Alliance.
  • C. Utz Quality Foods
    Utz Quality Foods is an American snack food manufacturer best known for its potato chips and pretzels, widely distributed across the United States.
  • D. The Schnitz
    The Schnitz is a historic, 1920s-era performing arts venue in downtown Portland, Oregon, renowned as the home of the Oregon Symphony and a centerpiece of the city’s cultural life.
  • E. Ratburger
    Ratburger is a children's novel by British comedian and author David Walliams that follows a young girl whose pet rat becomes the target of a sinister burger-making scheme.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a21fb048190acb0960aefd4fe0a completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6047d95548190b445aa3b4f1e71cc completed April 20, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:36 p.m.