Triple

T1951888
Position Surface form Disambiguated ID Type / Status
Subject Ma Rainey's Black Bottom E42176 entity
Predicate producer P490 FINISHED
Object Todd Black E200743 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: Todd Black | Statement: [Ma Rainey's Black Bottom, producer, Todd Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todd Black
Context triple: [Ma Rainey's Black Bottom, producer, Todd Black]
  • A. Todd Black chosen
    Todd Black is an American film producer known for his work on a wide range of Hollywood movies, including acclaimed dramas and major studio releases.
  • B. Lance Briggs
    Lance Briggs is a former NFL linebacker best known for his long, Pro Bowl–caliber career with the Chicago Bears.
  • C. Larry Blackmon
    Larry Blackmon is an American singer, songwriter, and bandleader best known as the founder and frontman of the funk band Cameo.
  • D. Daniel Kurtz-Phelan
    Daniel Kurtz-Phelan is an American foreign policy expert, author, and editor who serves as editor-in-chief of the influential journal Foreign Affairs.
  • E. Bill Marshall
    Bill Marshall was a Canadian film producer and cultural entrepreneur best known for co-founding and helping establish the Toronto International Film Festival as a major global cinema event.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb34eb5748190a3ac395252951eba completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbc3cf6881909d42a04be18c3c73 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.