Triple

T20590605
Position Surface form Disambiguated ID Type / Status
Subject Disney live-action comedies E505909 entity
Predicate includesFilm P22734 FINISHED
Object Blank Check NE NERFINISHED

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: Blank Check | Statement: [Disney live-action comedies, includesFilm, Blank Check]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blank Check
Context triple: [Disney live-action comedies, includesFilm, Blank Check]
  • A. Blank Check chosen
    Blank Check is a 1994 family comedy film about a young boy who accidentally receives a large sum of money and goes on a lavish spending spree.
  • B. CheckFree
    CheckFree is a financial services technology brand known for its electronic billing and payment processing solutions, now operating under Fiserv, Inc.
  • C. blanka Blatt
    Blanka Blatt was the wife of Holocaust survivor and Sobibor death camp uprising participant Thomas Blatt.
  • D. Zero Dollar
    Zero Dollar is a conceptual artwork by Brazilian artist Cildo Meireles that critiques capitalism and the value of money by subverting the familiar form of a banknote.
  • E. Bogus
    Bogus is a track featured on the hip-hop album "Life of a Don" by Don Toliver.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a97aaf1c81908006ae7447f1f503 completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.