Triple

T22299709
Position Surface form Disambiguated ID Type / Status
Subject Undertow E551222 entity
Predicate hasPart P35 FINISHED
Object Intolerance 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: Intolerance | Statement: [Undertow, hasPart, Intolerance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Intolerance
Context triple: [Undertow, hasPart, Intolerance]
  • A. Intolerance chosen
    Intolerance is a 1916 American silent epic film by D. W. Griffith that interweaves four parallel stories from different historical periods to explore the destructive effects of prejudice and persecution.
  • B. Hate
    Hate is an alternative comic book series by Peter Bagge, published by Fantagraphics Books, that satirically chronicles the life and misadventures of slacker protagonist Buddy Bradley.
  • C. Resentment
    "Resentment" is an R&B ballad best known for Beyoncé's emotionally charged rendition about betrayal and heartbreak.
  • D. Prejudice
    Prejudice is a preconceived, often unfavorable judgment or opinion about people or situations formed without adequate knowledge, reason, or experience.
  • E. Extreme Prejudice
    Extreme Prejudice is a 1987 neo-Western action film directed by Walter Hill, known for its violent border-town showdown between a Texas Ranger and a drug kingpin.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15722c3348190b63eb49764ef132d completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.