Triple

T14118672
Position Surface form Disambiguated ID Type / Status
Subject Don DaGradi E339846 entity
Predicate name P16 FINISHED
Object Don DaGradi E339846 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: Don DaGradi | Statement: [Don DaGradi, name, Don DaGradi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don DaGradi
Context triple: [Don DaGradi, name, Don DaGradi]
  • A. Don DaGradi chosen
    Don DaGradi was an American Disney artist and screenwriter best known for his layout and story work on classic animated films such as "Lady and the Tramp," "Sleeping Beauty," and "Mary Poppins."
  • B. Jeff Grogan
    Jeff Grogan is a television and film producer best known for his work as an executive producer on the series "Intervention."
  • C. Don Granato
    Don Granato is an American professional ice hockey coach known for leading the NHL’s Buffalo Sabres and for his extensive development work with young players.
  • D. Bill Vinovich
    Bill Vinovich is an American NFL official best known for serving as the head referee in multiple Super Bowls, including Super Bowl XLIX.
  • E. Jon Bosak
    Jon Bosak is a computer scientist best known for leading the original XML specification effort at the World Wide Web Consortium (W3C), which helped standardize data interchange on the web.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de609322ac8190bb389ca250882af5 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0641008190b88efacc02ba5314 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.