Triple

T5617413
Position Surface form Disambiguated ID Type / Status
Subject Hope Davis E147511 entity
Predicate notableWork P4 FINISHED
Object The Weather Man E407854 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 Weather Man | Statement: [Hope Davis, notableWork, The Weather Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Weather Man
Context triple: [Hope Davis, notableWork, The Weather Man]
  • A. The Weather Man chosen
    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.
  • B. 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.
  • C. Wetter
    "Wetter" is a popular 2009 hip hop and R&B single by American rapper Twista, known for its sensual lyrics and smooth, melodic production.
  • D. Earth and the Great Weather
    Earth and the Great Weather is an atmospheric, landscape-inspired musical work by American composer John Luther Adams that blends environmental soundscapes with minimalist and indigenous influences.
  • E. It's Always Fair Weather
    "It's Always Fair Weather" is a 1955 MGM musical film, co-directed by and starring Gene Kelly, known for its innovative dance sequences and bittersweet take on postwar disillusionment.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021dc04c081909f36e40394e7c955 completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287d9d7081909a1b2510565b55fc completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:40 p.m.