Triple

T9113760
Position Surface form Disambiguated ID Type / Status
Subject Sean Bobbitt E218668 entity
Predicate notableWork P4 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: [Sean Bobbitt, notableWork, Shame]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shame
Context triple: [Sean Bobbitt, notableWork, Shame]
  • A. 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.
  • B. 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.
  • 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. "Shame"
    "Shame" is a short story by Stephen Crane, included in his Whilomville Stories collection, that explores themes of guilt, embarrassment, and moral awakening in small-town life.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca84c209c8190b082a9b8499bedf7 completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0305eb6e081908edba0ddab25e209 completed April 3, 2026, 9:25 p.m.
Created at: March 30, 2026, 7:16 p.m.