Triple

T6140401
Position Surface form Disambiguated ID Type / Status
Subject The Great North E136945 entity
Predicate hasCharacter P2308 FINISHED
Object Moon Tobin E570830 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: Moon Tobin | Statement: [The Great North, hasCharacter, Moon Tobin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moon Tobin
Context triple: [The Great North, hasCharacter, Moon Tobin]
  • A. Moon Tobin chosen
    Moon Tobin is a quirky, imaginative young member of the Tobin family and one of the central protagonists in the animated TV series "The Great North."
  • B. Elizabeth Roboz
    Elizabeth Roboz was a Hungarian-American neurobiologist and biochemist known for her research on brain chemistry and her marriage to Hans Albert Einstein, the son of Albert Einstein.
  • C. Misty Quigley
    Misty Quigley is a central character in the psychological thriller series "Yellowjackets," known for her unsettling cheerfulness, obsessive tendencies, and pivotal role in both the past and present timelines of the story.
  • D. Toni Stevens
    Toni Stevens is a film producer known for her work on the animated feature "PAW Patrol: The Movie."
  • E. Karen Moss
    Karen Moss is the biological mother of television personality and fashion designer Nicole Richie.
  • 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.