Triple

T8981321
Position Surface form Disambiguated ID Type / Status
Subject Cameron Michael Granato E214533 entity
Predicate spouse P13 FINISHED
Object Ray Ferraro E257413 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: Ray Ferraro | Statement: [Cameron Michael Granato, spouse, Ray Ferraro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Ferraro
Context triple: [Cameron Michael Granato, spouse, Ray Ferraro]
  • A. Ray Ferraro chosen
    Ray Ferraro is a former Canadian professional ice hockey player and prominent NHL broadcaster known for his long playing career and work as a television analyst.
  • B. Don Ierullo
    Don Ierullo is a media entrepreneur best known for founding the global entertainment company Entertainment One.
  • C. Ben Massarella
    Ben Massarella is an American percussionist best known for his work with the indie rock band Modest Mouse and as a co-founder of the experimental label and project Perishable Records.
  • D. Frank D'Alesandro
    Frank D'Alesandro is a member of the prominent D'Alesandro political family from Baltimore, Maryland.
  • E. George DiCenzo
    George DiCenzo was an American character actor known for his work in film, television, and voice acting, including roles in projects like "Back to the Future" and numerous animated series.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a76f748190a4abad5d53d58fa8 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09b4d482481908457a78bb74b7db9 completed April 4, 2026, 5:02 a.m.
Created at: March 30, 2026, 7:03 p.m.