Triple

T17018170
Position Surface form Disambiguated ID Type / Status
Subject Utz E412874 entity
Predicate title P38 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: [Utz, title, Utz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Utz
Context triple: [Utz, title, 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d480a58c8190a3912d26debb4311 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4d6cb881909b64b4368fd97fa9 completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.