Triple

T13858684
Position Surface form Disambiguated ID Type / Status
Subject The Factor E333129 entity
Predicate hasAbbreviation P43 FINISHED
Object The Factor E333129 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: The Factor | Statement: [The Factor, hasAbbreviation, The Factor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Factor
Context triple: [The Factor, hasAbbreviation, The Factor]
  • A. The Factor chosen
    The Factor is the shortened title of the long-running Fox News political talk show hosted by Bill O’Reilly, known for its conservative commentary and combative interview style.
  • B. Ice Factor
    Ice Factor is a major indoor ice climbing and adventure sports centre located in Kinlochleven, Scotland.
  • C. Pariah
    Pariah is a 2011 independent coming-of-age drama film about a Brooklyn teenager embracing her identity as a lesbian, noted for its intimate storytelling and evocative cinematography.
  • D. Pariah
    Pariah is a film production company known for producing the post-apocalyptic zombie comedy "Zombieland."
  • E. The Human Factor
    The Human Factor is a biographical sports drama film about Nelson Mandela’s use of rugby to help unite post-apartheid South Africa, adapted from John Carlin’s book "Playing the Enemy."
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02de38e48190b6ead95561031c32 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0fd3ffc8190965a730843411b80 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.