Triple

T20306790
Position Surface form Disambiguated ID Type / Status
Subject Unrepentant Geraldines E510127 entity
Predicate hasTrack P3284 FINISHED
Object Weatherman 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: Weatherman | Statement: [Unrepentant Geraldines, hasTrack, Weatherman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weatherman
Context triple: [Unrepentant Geraldines, hasTrack, Weatherman]
  • A. Weatherman
    Weatherman, later known as the Weather Underground, was a radical left-wing militant organization in the United States active in the late 1960s and 1970s that carried out bombings and other actions in opposition to the Vietnam War and U.S. government policies.
  • B. Weatherman chosen
    Weatherman is a track by rapper and producer J Dilla, featured on his posthumous album "The Shining."
  • C. The Weatherman
    The Weatherman is a component or segment within the larger work "History Books," likely serving as a distinct chapter, story, or track that contributes to the overall narrative or theme.
  • D. The Weather Man
    The Weather Man is a 2005 dark comedy-drama film starring Nicolas Cage as a troubled Chicago TV weatherman struggling with family and personal crises.
  • E. Weather Girl
    Weather Girl is a romantic comedy film in which a TV weather forecaster’s on-air meltdown upends her career and love life.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6774068c08190824fa55438bab712 completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:18 a.m.