Triple

T2804189
Position Surface form Disambiguated ID Type / Status
Subject Harold Arlen E54012 entity
Predicate wroteMusicFor P30214 FINISHED
Object Stormy Weather (film) E255125 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: Stormy Weather (film) | Statement: [Harold Arlen, wroteMusicFor, Stormy Weather (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stormy Weather (film)
Context triple: [Harold Arlen, wroteMusicFor, Stormy Weather (film)]
  • A. Stormy Weather chosen
    Stormy Weather is a classic 1943 American musical film celebrated for its groundbreaking African American cast and iconic song-and-dance performances.
  • B. Reap the Wild Wind
    Reap the Wild Wind is a 1942 seafaring adventure film directed by Cecil B. DeMille, known for its maritime salvage drama set in the 1840s along the Florida coast.
  • C. 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.
  • D. Slattery’s Hurricane
    Slattery’s Hurricane is a 1949 American drama film, based on a Herman Wouk story, about a troubled ex-Navy pilot caught in a dangerous storm and a web of personal conflicts.
  • E. Red Dust
    Red Dust is a film associated with director Tom Hooper, known as one of his earlier dramatic works before his rise to international prominence.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde1409148190a06a401185a26b64 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce94a8f48190ac8b447f66b7d545 completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.