Triple

T14770696
Position Surface form Disambiguated ID Type / Status
Subject Steven Conrad E347123 entity
Predicate wroteScreenplayFor P15305 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: [Steven Conrad, wroteScreenplayFor, The Weather Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Weather Man
Context triple: [Steven Conrad, wroteScreenplayFor, 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. 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.
  • C. Weatherman
    Weatherman is a track by rapper and producer J Dilla, featured on his posthumous album "The Shining."
  • D. 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.
  • E. 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.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec81334e08190a77d760e507d00ed completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b41df881908119e183b8299c48 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.