Triple

T16163093
Position Surface form Disambiguated ID Type / Status
Subject ComicView E392225 entity
Predicate notableHost P5272 FINISHED
Object Bruce Bruce E1198196 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: Bruce Bruce | Statement: [ComicView, notableHost, Bruce Bruce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruce Bruce
Context triple: [ComicView, notableHost, Bruce Bruce]
  • A. Bruce Bruce chosen
    Bruce Bruce is an American stand-up comedian and actor known for his energetic stage presence, observational humor, and frequent appearances on comedy television shows and tours.
  • B. Bo Bruce
    Bo Bruce is an English singer-songwriter who gained prominence as a finalist on the first series of The Voice UK and for her emotive, atmospheric pop music.
  • C. Brucie B.
    Brucie B. is a veteran New York hip-hop DJ and mixtape pioneer known for his influential role in the 1980s and 1990s rap scene.
  • D. David Bruce
    David Bruce was an American film and television actor active primarily in the 1940s and 1950s, known for supporting roles in Hollywood productions.
  • E. David Bruce
    David Bruce was an American diplomat and intelligence officer who played a significant role in U.S. foreign policy and covert operations during and after World War II.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e616770819093f16c88722b2a7d completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffef96a088190a1c1728288a9c4ef completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:02 a.m.