Triple

T2200725
Position Surface form Disambiguated ID Type / Status
Subject Bombshell E50481 entity
Predicate title P38 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: [Bombshell, title, Bombshell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bombshell
Context triple: [Bombshell, title, Bombshell]
  • A. 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.
  • B. Bombshell
    Bombshell is the fictional Marilyn Monroe–themed Broadway musical at the center of the TV series "Smash."
  • C. Madam President
    "Madam President" is the formal style of address used for a female President of the United States.
  • D. On the Basis of Sex
    On the Basis of Sex is a biographical legal drama film about Supreme Court Justice Ruth Bader Ginsburg’s early career and landmark gender discrimination case.
  • E. Red Sparrow
    Red Sparrow is a 2018 spy thriller film in which Jennifer Lawrence plays a Russian ballerina-turned-intelligence operative trained in seduction and manipulation.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfa06bb4819092d7021358846e5f completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5dbb6e8481908610337cfd2a4bd1 completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:46 p.m.