Triple

T6294890
Position Surface form Disambiguated ID Type / Status
Subject Hall E141105 entity
Predicate hasNotableBearer P458 FINISHED
Object Gus Hall E338624 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: Gus Hall | Statement: [Hall, hasNotableBearer, Gus Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gus Hall
Context triple: [Hall, hasNotableBearer, Gus Hall]
  • A. Gus Hall chosen
    Gus Hall was a prominent American communist leader and longtime head of the Communist Party USA, known for his presidential campaigns and steadfast support of Soviet-style socialism.
  • B. Al Johnson
    Al Johnson is an American musician best known as a member of the experimental rock band U.S. Maple.
  • C. Frank Fay
    Frank Fay was an American stage and film actor and vaudeville comedian, noted as an early master of stand-up comedy and for his tumultuous marriage to actress Barbara Stanwyck.
  • D. Herschel Daugherty
    Herschel Daugherty was an American film and television director best known for his prolific work in mid-20th-century TV dramas and anthology series.
  • E. Alvin Sargent
    Alvin Sargent was an American screenwriter best known for his Oscar-winning work on films like "Julia" and "Ordinary People" and for co-writing several "Spider-Man" movies.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06439a6908190b0a8ebf426d3ca02 completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c51988f1388190b36212b0d9756863 completed March 26, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:27 p.m.