Triple

T3216042
Position Surface form Disambiguated ID Type / Status
Subject Kate McKinnon E67396 entity
Predicate notableWork P4 FINISHED
Object Bombshell (2019 film) 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 (2019 film) | Statement: [Kate McKinnon, notableWork, Bombshell (2019 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bombshell (2019 film)
Context triple: [Kate McKinnon, notableWork, Bombshell (2019 film)]
  • 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. Madam President
    Madam President is the formal style of address used for a female head of state serving as President of Romania.
  • E. Birds of Prey
    Birds of Prey is a 2020 DC superhero film centered on Harley Quinn teaming up with a group of female vigilantes in Gotham City.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab096b588190b22e41a76263ae92 completed March 8, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2623c90cc819085a94adfe3eb3f3f completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.