Triple

T9506402
Position Surface form Disambiguated ID Type / Status
Subject Tony Goldwyn E229279 entity
Predicate directed P7373 FINISHED
Object Episodes of 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: Episodes of Scandal | Statement: [Tony Goldwyn, directed, Episodes of Scandal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Episodes of Scandal
Context triple: [Tony Goldwyn, directed, Episodes of 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. Anatomy of a Scandal
    Anatomy of a Scandal is a British psychological thriller television series that explores themes of power, privilege, and consent within the world of politics and the legal system.
  • E. Scandal!
    Scandal! is a popular South African television soap opera known for its dramatic storylines centered around the media industry and the personal lives of its characters.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9852b7e48190a8f69cbde10d2858 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a1de2d88190a6a10379d2297510 completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:57 p.m.