Triple

T4869455
Position Surface form Disambiguated ID Type / Status
Subject Southern Accents E109048 entity
Predicate chartingSingle P60345 FINISHED
Object Rebels E360967 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: Rebels | Statement: [Southern Accents, chartingSingle, Rebels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rebels
Context triple: [Southern Accents, chartingSingle, Rebels]
  • A. Rebels chosen
    The Rebels are the athletic teams representing the University of Mississippi (Ole Miss) in NCAA Division I sports.
  • B. Rebel
    Rebel is a television drama series starring Katey Sagal as a blue-collar legal advocate inspired by the life and work of activist Erin Brockovich.
  • C. Rebel
    Rebel is an off-road-focused trim of the Ram 1500 pickup truck, featuring rugged styling and enhanced off-road capability.
  • D. The Rebel
    The Rebel is a 1961 British comedy film starring Tony Hancock as an office worker who abandons his mundane life to pursue a deluded career as a modern artist in Paris.
  • E. The Rebel
    The Rebel is a philosophical essay by Albert Camus that explores the nature of rebellion and revolution and their implications for human freedom and morality.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7162427c81908a67a07545f698ae completed March 20, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be7793405c81909af7de2ad8e62e54 completed March 21, 2026, 10:48 a.m.
Created at: March 20, 2026, 1:27 p.m.