Triple

T1951792
Position Surface form Disambiguated ID Type / Status
Subject Get on Up E42174 entity
Predicate mainSubject P3 FINISHED
Object James Brown E42181 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: James Brown | Statement: [Get on Up, mainSubject, James Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Brown
Context triple: [Get on Up, mainSubject, James Brown]
  • A. James Brown chosen
    James Brown was an influential American singer, songwriter, bandleader, and dynamic performer widely known as the "Godfather of Soul" and a pioneer of funk music.
  • B. James Brown
    James Brown was an American publisher and co-founder of the prominent publishing house Little, Brown and Company in the 19th century.
  • C. Wilson Pickett
    Wilson Pickett was an influential American soul and R&B singer known for his powerful, gritty vocals and classic hits like "In the Midnight Hour" and "Mustang Sally."
  • D. Bigman Jones
    Bigman Jones is a diminutive but fiercely loyal and hot-tempered Martian companion of space ranger David "Lucky" Starr in Isaac Asimov’s Lucky Starr science fiction novels.
  • E. Jheri Redding
    Jheri Redding was an American hair care entrepreneur, chemist, and product innovator widely regarded as a pioneer of the modern professional hair care industry.
  • 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.