Triple

T3332217
Position Surface form Disambiguated ID Type / Status
Subject Ordell Robbie E70057 entity
Predicate enemyOf P437 FINISHED
Object Ray Nicolette E156797 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: Ray Nicolette | Statement: [Ordell Robbie, enemyOf, Ray Nicolette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Nicolette
Context triple: [Ordell Robbie, enemyOf, Ray Nicolette]
  • A. Ray Nicolette chosen
    Ray Nicolette is a fictional ATF agent who appears in Elmore Leonard’s crime novels and their film adaptations, notably portrayed by Michael Keaton in "Jackie Brown" and "Out of Sight."
  • B. John Boettiger
    John Boettiger was an American journalist and newspaper publisher best known as the second husband of Anna Roosevelt, daughter of President Franklin D. Roosevelt.
  • C. Marc Ewing
    Marc Ewing is an American software engineer and entrepreneur best known as a co-founder of the open-source software company Red Hat.
  • D. Don Brautigam
    Don Brautigam was an American illustrator best known for his striking, realistic cover art for horror and thriller novels, including works by Stephen King.
  • E. John Kiffmeyer
    John Kiffmeyer is an American drummer best known for being the original drummer of the punk rock band Green Day during their early years.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb19358e48190a503af01b92273a4 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38badfa648190a1391627a5c6a478 completed March 13, 2026, 3:59 a.m.
Created at: March 8, 2026, 3:12 p.m.