Triple

T8367243
Position Surface form Disambiguated ID Type / Status
Subject Fana Mokoena E197158 entity
Predicate appearedIn P795 FINISHED
Object Scandal! E728164 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: [Fana Mokoena, appearedIn, Scandal!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scandal!
Context triple: [Fana Mokoena, appearedIn, Scandal!]
  • A. Scandal! chosen
    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.
  • B. Scandal
    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. A Very British Scandal
    A Very British Scandal is a British television drama miniseries that dramatizes a notorious mid-20th-century aristocratic divorce case and the media frenzy surrounding it.
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808e56fc81908b5d37482f29452d completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7c747b48190b1979b4eaf281df5 completed April 2, 2026, 3:51 a.m.
Created at: March 30, 2026, 6 p.m.