Triple

T15392702
Position Surface form Disambiguated ID Type / Status
Subject Jeff Perry E368087 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: [Jeff Perry, notableWork, Scandal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scandal
Context triple: [Jeff Perry, notableWork, Scandal]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Scandal
    Scandal is a 1950 Japanese drama film directed by Akira Kurosawa that critiques tabloid journalism and the invasion of privacy.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7838b48190862b43c6c8620692 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1350699c8190acf7830d88455851 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.