Triple

T16296535
Position Surface form Disambiguated ID Type / Status
Subject Leave Her to Heaven E395660 entity
Predicate AcademyAwardWinner P10689 FINISHED
Object Leon Shamroy E218746 NE FINISHED

How this triple was built (3 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: [Leave Her to Heaven, AcademyAwardWinner, Leon Shamroy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leon Shamroy
Context triple: [Leave Her to Heaven, AcademyAwardWinner, 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: AcademyAwardWinner
Context triple: [Leave Her to Heaven, AcademyAwardWinner, Leon Shamroy]
  • A. oscarCategoryWon
    Indicates that an entity has won an Academy Award in the specified Oscar category.
  • B. academyAwardForBestActress
    Indicates that an entity received the Academy Award for Best Actress in a leading role.
  • C. oscarAward chosen
    Indicates that an entity has received or been honored with an Academy Award (Oscar).
  • D. academyAwardWins
    Indicates that one entity has won a specified number of Academy Awards (Oscars) or that a winning relationship exists between the entity and the Academy Award.
  • E. academyAwardWinningPerformances
    Indicates that the performances in question have won an Academy Award (Oscar) for acting.
  • F. None of above.

Provenance (4 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2dcdac819083918f0964dd5666 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025ff9020819088f2146bdbfb2e2a completed May 10, 2026, 6:30 a.m.
PD Predicate disambiguation batch_69e219fa5508819097e9d383348bf174 completed April 17, 2026, 11:31 a.m.
Created at: April 10, 2026, 5:06 a.m.