Triple

T19005559
Position Surface form Disambiguated ID Type / Status
Subject Short E465069 entity
Predicate hasNotableBearer P458 FINISHED
Object Bobby Short NE NERFINISHED

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: Bobby Short | Statement: [Short, hasNotableBearer, Bobby Short]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bobby Short
Context triple: [Short, hasNotableBearer, Bobby Short]
  • A. Bobby Short chosen
    Bobby Short was an American cabaret singer and pianist renowned for his sophisticated interpretations of the Great American Songbook, especially the works of Cole Porter.
  • B. Sam Shorter
    Sam Shorter is an individual notable enough to be recognized as a bearer of the surname Shorter, though specific widely known public details about them are not clearly established.
  • C. Bobby Freeman
    Bobby Freeman was an American rock and soul singer-songwriter best known for his 1958 hit single "Do You Wanna Dance?".
  • D. Bobby Lewis
    Bobby Lewis was an American rock and roll and R&B singer best known for his 1961 hit single "Tossin' and Turnin'."
  • E. Buddy Johnson
    Buddy Johnson is a screenwriter best known for his work on the horror-comedy parody film "Scary Movie."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a494688190a277b2cddf300235 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.