Triple

T15403854
Position Surface form Disambiguated ID Type / Status
Subject Alanna Ubach E368396 entity
Predicate notableWork P4 FINISHED
Object Bombshell E140749 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: [Alanna Ubach, notableWork, Bombshell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bombshell
Context triple: [Alanna Ubach, notableWork, Bombshell]
  • A. Bombshell
    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 chosen
    Bombshell is the fictional Marilyn Monroe–themed Broadway musical at the center of the TV series "Smash."
  • C. Bombshell
    "Bombshell" is a 1933 American pre-Code screwball comedy film starring Jean Harlow that satirizes Hollywood and the movie star system.
  • D. Bombshell Blonde
    "Bombshell Blonde" is a pop-rock song by Owl City featured on his 2012 studio album *The Midsummer Station*.
  • E. Blonde Bombshell
    Blonde Bombshell is an alternate title for the 1933 pre-Code Hollywood comedy film "Bombshell," starring Jean Harlow as a harried movie star in a satire of the film industry.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8fde64819082ec0c68df305561 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13584f8881908b2527c51f85ae28 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.