Triple

T13952998
Position Surface form Disambiguated ID Type / Status
Subject Sissy Sullivan E335578 entity
Predicate appearsIn P795 FINISHED
Object Shame E62100 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: Shame | Statement: [Sissy Sullivan, appearsIn, Shame]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shame
Context triple: [Sissy Sullivan, appearsIn, Shame]
  • A. Shame
    "Shame" is a 1983 novel by Salman Rushdie that blends magic realism and political satire to explore themes of power, identity, and violence in a thinly veiled fictional version of Pakistan.
  • B. Shame chosen
    Shame is a 2011 British drama film directed by Steve McQueen, known for its unflinching portrayal of sex addiction and emotional isolation in contemporary New York City.
  • C. Shame
    "Shame" is a song produced and co-written by Pop Wansel, known for its soulful, emotionally charged R&B style.
  • D. Embarrassment
    Embarrassment is a notable work by the band Madness, recognized as one of their significant songs.
  • E. Embarrassment
    Embarrassment is a shy, awkward emotion character in Pixar’s animated film "Inside Out 2," representing the uncomfortable self-consciousness of adolescence.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e146720819085d0f5eae558b7a4 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc321c600819085052392de9b0b53 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:17 p.m.