Triple

T6140397
Position Surface form Disambiguated ID Type / Status
Subject The Great North E136945 entity
Predicate hasCharacter P2308 FINISHED
Object Beef Tobin E570827 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: Beef Tobin | Statement: [The Great North, hasCharacter, Beef Tobin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beef Tobin
Context triple: [The Great North, hasCharacter, Beef Tobin]
  • A. Beef Tobin chosen
    Beef Tobin is the rugged, well-meaning single father and Alaskan fisherman who anchors the animated sitcom "The Great North" with his offbeat parenting and devotion to his quirky family.
  • B. Bill the Butcher
    Bill the Butcher is a ruthless, nativist gang leader and master knife-fighter in 19th-century New York City, best known as the main antagonist in the film "Gangs of New York."
  • C. Carnes
    Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
  • D. Bosley
    Bosley is a surname most famously associated with American actor Tom Bosley, known for his role as Howard Cunningham on the television series "Happy Days."
  • E. Bevo
    Bevo is the live longhorn steer that serves as the iconic symbol of the University of Texas at Austin’s athletic teams.
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cb030fc8190b78e4967eea65611 completed March 22, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14173d2288190920b719e221a929c completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:15 p.m.