Triple

T10812031
Position Surface form Disambiguated ID Type / Status
Subject Stormy Weather E255125 entity
Predicate cinematographyBy P1953 FINISHED
Object Leon Shamroy E218746 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: Leon Shamroy | Statement: [Stormy Weather, cinematographyBy, Leon Shamroy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leon Shamroy
Context triple: [Stormy Weather, cinematographyBy, Leon Shamroy]
  • A. Leon Shamroy chosen
    Leon Shamroy was an acclaimed American cinematographer, renowned for his work on numerous Hollywood classics and for winning multiple Academy Awards during the mid-20th century.
  • B. Joel Zimmerman
    Joel Zimmerman is a film editor best known for his work on the 2000 horror film "Shadow of the Vampire."
  • C. Maty Siman
    Maty Siman is a technology entrepreneur best known as the founder of the application security company Checkmarx.
  • D. Kenny Aaronson
    Kenny Aaronson is an American rock bassist and session musician known for his work with numerous bands and artists since the 1970s.
  • E. Luke Bosso
    Luke Bosso is an American sports administrator who has served as the athletic director for the IUPUI Jaguars athletic program.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733eadda48190b2b1183ee60102cb completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69de853692f08190914cbeaf1a558730 completed April 14, 2026, 6:19 p.m.
Created at: April 8, 2026, 9:18 p.m.