Triple

T222254
Position Surface form Disambiguated ID Type / Status
Subject Toronto Huskies E4239 entity
Predicate headCoach P256 FINISHED
Object Ed Sadowski E117273 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: Ed Sadowski | Statement: [Toronto Huskies, headCoach, Ed Sadowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ed Sadowski
Context triple: [Toronto Huskies, headCoach, Ed Sadowski]
  • A. Ed Sadowski chosen
    Ed Sadowski was an early professional basketball center who played in the 1940s, including in the Basketball Association of America, a precursor to the NBA.
  • B. Kevin Yagher
    Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
  • C. Don Smolenski
    Don Smolenski is an American sports executive best known for serving as the president of the NFL’s Philadelphia Eagles, overseeing the franchise’s business operations.
  • D. Max Hodak
    Max Hodak is an American entrepreneur and technologist best known as the co-founder and former president of Neuralink, a company developing brain–computer interface technology.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c705fd88190bfee7f5e1f7cee17 completed Feb. 28, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ac65f5fa54819087f7d08cdaa5e5ea completed March 7, 2026, 5:52 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.