Triple

T12833550
Position Surface form Disambiguated ID Type / Status
Subject Down Argentine Way E306847 entity
Predicate cinematographer 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: [Down Argentine Way, cinematographer, Leon Shamroy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leon Shamroy
Context triple: [Down Argentine Way, cinematographer, 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. Grant Shaud
    Grant Shaud is an American actor best known for playing the high-strung news producer Miles Silverberg on the television sitcom "Murphy Brown."
  • E. Kenny Aaronson
    Kenny Aaronson is an American rock bassist and session musician known for his work with numerous bands and artists since the 1970s.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fb1c7248190bb6e644e041d192e completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ed8d20081908e0fb5262b354cab completed May 2, 2026, 11:55 p.m.
Created at: April 9, 2026, 5:34 p.m.