Triple

T13383506
Position Surface form Disambiguated ID Type / Status
Subject Kate Burton E319376 entity
Predicate notableWork P4 FINISHED
Object Scandal E303436 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: Scandal | Statement: [Kate Burton, notableWork, Scandal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scandal
Context triple: [Kate Burton, notableWork, Scandal]
  • A. Scandal chosen
    Scandal is a political thriller television series created by Shonda Rhimes that follows crisis manager Olivia Pope as she navigates high-stakes scandals in Washington, D.C.
  • B. Scandal
    Scandal is a 1989 British drama film that dramatizes the real-life Profumo affair, a major 1960s political sex scandal in the United Kingdom.
  • C. Scandal
    Scandal is a 1950 Japanese drama film directed by Akira Kurosawa that critiques tabloid journalism and the invasion of privacy.
  • D. Scandal
    Scandal is a bold, sensual fragrance by Jean Paul Gaultier known for its sweet honey, gardenia, and patchouli notes and its provocative, leg-shaped bottle design.
  • E. Notes on a Scandal
    Notes on a Scandal is a psychological drama film centered on the toxic relationship between a lonely, manipulative teacher and a younger colleague whose illicit affair she exploits.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce80158819082156eaeaeda3bd8 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7268cf04c8190a35fd48ce81c149e completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.