Triple

T432920
Position Surface form Disambiguated ID Type / Status
Subject Norman Jewison E9751 entity
Predicate directed P7373 FINISHED
Object Rollerball E54496 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: Rollerball | Statement: [Norman Jewison, directed, Rollerball]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rollerball
Context triple: [Norman Jewison, directed, Rollerball]
  • A. Rollerball chosen
    Rollerball is a 1975 dystopian science fiction sports film depicting a violent future game used by corporations to control society.
  • B. Vecherniy Kvartal
    Vecherniy Kvartal is a popular Ukrainian comedy and satirical TV show known for its sketches, political humor, and live performances.
  • C. Blitz
    The Blitz was the sustained German bombing campaign against the United Kingdom, particularly London, during 1940–1941 in World War II.
  • D. Blowback
    Blowback is a political nonfiction book by Chalmers Johnson that critiques U.S. foreign policy and explores how American military and economic actions abroad can provoke unintended and often violent consequences.
  • E. The Ball
    The Ball is the popular nickname for Reunion Tower, a distinctive geodesic observation tower and Dallas landmark known for its glowing spherical top.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ef084840819080653004b674cba8 completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4366ad0f48190b0f6c531e232b8fe completed March 1, 2026, 12:51 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.