Triple

T13624661
Position Surface form Disambiguated ID Type / Status
Subject Thom Bell E325546 entity
Predicate associatedWith P37 FINISHED
Object Gamble and Huff E653534 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: Gamble and Huff | Statement: [Thom Bell, associatedWith, Gamble and Huff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gamble and Huff
Context triple: [Thom Bell, associatedWith, Gamble and Huff]
  • A. Gamble and Huff chosen
    Gamble and Huff is the legendary American songwriting and production duo credited with creating the Philadelphia soul sound and shaping 1970s R&B music.
  • B. The Gamblers
    The Gamblers were a 1960s American surf rock band known for their instrumental track "Moon Dawg!" which became an early surf music classic.
  • C. Gamblers
    Gamblers is the short name for the Green Bay Gamblers, a junior ice hockey team in the United States Hockey League based in Green Bay, Wisconsin.
  • D. Gamble
    Gamble is a surname most notably associated with Kenneth Gamble, the influential American songwriter and record producer who helped shape the Philadelphia soul sound.
  • E. God of Gamblers
    God of Gamblers is a classic 1989 Hong Kong action-comedy film that popularized the stylish gambling-hero archetype and became one of Chow Yun-fat’s most iconic roles.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9b0b648190afee93121483f45f completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa4c5fc8190bd791f181fce2aa1 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.