Triple

T21199696
Position Surface form Disambiguated ID Type / Status
Subject Howard Bannister E522419 entity
Predicate hasFullNameInStory P124414 FINISHED
Object Howard Bannister NE NERFINISHED

How this triple was built (3 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: Howard Bannister | Statement: [Howard Bannister, hasFullNameInStory, Howard Bannister]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Bannister
Context triple: [Howard Bannister, hasFullNameInStory, Howard Bannister]
  • A. Howard Bannister chosen
    Howard Bannister is the mild-mannered, musicologist protagonist played by Ryan O'Neal in the screwball comedy film "What's Up, Doc?".
  • B. Michael Bannister
    Michael Bannister is a musician best known as a member of the Scottish indie rock supergroup Reindeer Section.
  • C. Henry Buckley
    Henry Buckley is a personal name shared by several notable individuals, including politicians, journalists, and public figures.
  • D. Scott Banister
    Scott Banister is an American entrepreneur and angel investor known for co-founding IronPort and early involvement with companies like PayPal and Facebook.
  • E. Frank Worthington
    Frank Worthington was an English professional footballer best known as a flamboyant forward who played for clubs such as Leicester City and Bolton Wanderers during the 1970s and 1980s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFullNameInStory
Context triple: [Howard Bannister, hasFullNameInStory, Howard Bannister]
  • A. hasFullNameInCanon
    Indicates that an entity’s complete, official name is explicitly established within the canonical source material.
  • B. hasFullNameInWork chosen
    Indicates that an entity is referred to by a specific full name within a particular work or publication.
  • C. hasFamilyNameInFiction
    Indicates that a fictional character is associated with a particular family name within a work of fiction.
  • D. hasAllyInStory
    Indicates that one entity is portrayed as an ally or supportive partner of another entity within the context of a specific story or narrative.
  • E. hasLeaderInStory
    Indicates that one entity serves as the leader of another entity within the context of a specific story or narrative.
  • F. None of above.

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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7342fe3a08190b7ed2cadf60091a8 completed April 21, 2026, 8:24 a.m.
PD Predicate disambiguation batch_69e5f6094e3c81909ee9699e00d371f7 completed April 20, 2026, 9:46 a.m.
Created at: April 16, 2026, 3:17 p.m.