Triple

T21811182
Position Surface form Disambiguated ID Type / Status
Subject Hilton Glossop E538476 entity
Predicate nickname P55 FINISHED
Object Tuppy NE NERFINISHED

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: Tuppy | Statement: [Hilton Glossop, nickname, Tuppy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuppy
Context triple: [Hilton Glossop, nickname, Tuppy]
  • A. Tuppy chosen
    Tuppy is a jovial, somewhat mischievous friend of Bertie Wooster in P. G. Wodehouse’s Jeeves stories, known for his hearty appetite and comic romantic entanglements.
  • B. Titch
    Titch is an alternate name for Stitch, the mischievous blue alien character from Disney's "Lilo & Stitch" franchise.
  • C. Pippy
    Pippy is an educational programming activity for the Sugar learning platform that lets children explore and write simple Python programs.
  • D. Tucca
    Tucca is a character appearing in the early 17th-century satirical play "Satiromastix" by Thomas Dekker.
  • E. Tukker
    Tukker is a given name or surname that functions as a variant spelling of the name Tucker.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc6cdf88190a31129acdc3bcec8 completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:53 p.m.