Triple

T10400485
Position Surface form Disambiguated ID Type / Status
Subject Tom Gries E245131 entity
Predicate directed P7373 FINISHED
Object Breakout E861652 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: Breakout | Statement: [Tom Gries, directed, Breakout]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breakout
Context triple: [Tom Gries, directed, Breakout]
  • A. Breakout
    Breakout is a classic 1976 arcade video game in which players control a paddle to bounce a ball and break rows of bricks, helping define the early brick-breaker genre.
  • B. Breakout chosen
    Breakout is a 1975 American action-thriller film starring Charles Bronson as a pilot hired to rescue a man from a Mexican prison.
  • C. Breakout Kings
    Breakout Kings is an American crime drama television series about U.S. Marshals who recruit convicts to help track down escaped prisoners in exchange for reduced sentences.
  • D. Ballbreaker
    Ballbreaker is a hard rock studio album by Australian band AC/DC, released in 1995 and known for its raw, blues-influenced sound and the return of drummer Phil Rudd.
  • E. Make and Break
    Make and Break is a satirical stage play by Michael Frayn that explores corporate culture and moral compromise through the story of a driven businessman at a trade fair.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9e2f11c8190b30695cba2975544 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e84f7a08190b83ecfec72efb7a7 completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:07 p.m.