Triple

T13696013
Position Surface form Disambiguated ID Type / Status
Subject The Weatherman LP E328385 entity
Predicate hasPart P35 FINISHED
Object “The Weatherman” E838153 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 Weatherman” | Statement: [The Weatherman LP, hasPart, “The Weatherman”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “The Weatherman”
Context triple: [The Weatherman LP, hasPart, “The Weatherman”]
  • A. The Weatherman chosen
    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.
  • B. 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.
  • C. Weatherman
    Weatherman is a track by rapper and producer J Dilla, featured on his posthumous album "The Shining."
  • D. Al Sleet, the Hippy Dippy Weatherman
    Al Sleet, the Hippy Dippy Weatherman is George Carlin’s iconic counterculture weatherman character, known for his laid-back, satirical forecasts that parody television weather reports.
  • E. Strange Weather
    Strange Weather is a collection of four horror and dark fantasy novellas by Joe Hill that explore unsettling, supernatural twists on everyday life.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8773f388190b2413b1e05fd5fd7 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79453395481909d651cb3a128f23d completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.