Triple

T9415550
Position Surface form Disambiguated ID Type / Status
Subject Amy Landecker E227009 entity
Predicate notableWork P4 FINISHED
Object Bombshell E50481 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: Bombshell | Statement: [Amy Landecker, notableWork, Bombshell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bombshell
Context triple: [Amy Landecker, notableWork, Bombshell]
  • A. Bombshell
    "Bombshell" is a 1933 American pre-Code screwball comedy film starring Jean Harlow that satirizes Hollywood and the movie star system.
  • B. Bombshell chosen
    Bombshell is a 2019 drama film that dramatizes the real-life sexual harassment scandal at Fox News involving Roger Ailes, featuring Charlize Theron as one of the central whistleblowers.
  • C. Bombshell
    Bombshell is the fictional Marilyn Monroe–themed Broadway musical at the center of the TV series "Smash."
  • D. Bombshell: The Hedy Lamarr Story
    Bombshell: The Hedy Lamarr Story is a documentary film that explores the life, Hollywood career, and pioneering technological contributions of actress and inventor Hedy Lamarr.
  • E. Vox Lux
    Vox Lux is a 2018 drama film following the rise of a troubled pop star over several decades, starring Natalie Portman and Raffey Cassidy and directed by Brady Corbet.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68c9917481909f793a2a9efb2a75 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107baad74819090a746c06feb28ac completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:48 p.m.