Triple

T6280586
Position Surface form Disambiguated ID Type / Status
Subject Nate Parker E140770 entity
Predicate starredIn P1668 FINISHED
Object Arbitrage E583188 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: Arbitrage | Statement: [Nate Parker, starredIn, Arbitrage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arbitrage
Context triple: [Nate Parker, starredIn, Arbitrage]
  • A. Arbitrage chosen
    "Arbitrage" is a 2012 financial thriller film starring Richard Gere as a troubled hedge fund magnate trying to conceal fraud and personal misconduct as his life unravels.
  • B. Arabitragus
    Arabitragus is a genus of wild goat-like mammals that includes the Nilgiri tahr, a mountain-dwelling caprine native to the Western Ghats of India.
  • C. BSE On-Line Trading
    BSE On-Line Trading is the electronic trading platform of the Bombay Stock Exchange that enables automated, screen-based securities trading.
  • D. Betfair
    Betfair is a major online gambling company and betting exchange based in the United Kingdom.
  • E. GMEX
    GMEX is a large exhibition and events complex in Manchester, England, housed in a former railway station and known for hosting major conferences, concerts, and trade shows.
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063ddb3a4819083455f6da854f8a9 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e411332481908ffff37cad062cce completed March 27, 2026, 1:57 a.m.
Created at: March 22, 2026, 4:26 p.m.