Triple

T10219900
Position Surface form Disambiguated ID Type / Status
Subject Dick Vitale E242547 entity
Predicate nickname P55 FINISHED
Object Dicky V E850219 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: Dicky V | Statement: [Dick Vitale, nickname, Dicky V]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dicky V
Context triple: [Dick Vitale, nickname, Dicky V]
  • A. Dickie V chosen
    Dickie V is the exuberant, catchphrase-spouting American college basketball broadcaster and former coach best known for his long tenure as an ESPN analyst.
  • B. Darius Guppy
    Darius Guppy is a British businessman and convicted fraudster best known for his involvement in an insurance scam and his controversial connections within the UK establishment.
  • C. Dickie
    Dickie is a Scottish surname most notably associated with actress Kate Dickie, known for her roles in film and television.
  • D. Derek Dixie
    Derek Dixie is a music producer and arranger best known for his work with major artists like Beyoncé, contributing to acclaimed live performances and recordings.
  • E. Dickie Jones
    Dickie Jones was an American child actor best known as the voice of the title character in Disney’s 1940 animated film "Pinocchio."
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa715a3c8190a9ccee7bcece0346 completed April 6, 2026, 12:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6f6ffefb881908296481343fb7ad3 completed April 9, 2026, 12:46 a.m.
Created at: April 6, 2026, 11:08 a.m.