Triple

T17035813
Position Surface form Disambiguated ID Type / Status
Subject Donut County E413317 entity
Predicate composer P1361 FINISHED
Object Ben Esposito 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: Ben Esposito | Statement: [Donut County, composer, Ben Esposito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Esposito
Context triple: [Donut County, composer, Ben Esposito]
  • A. Ben Esposito chosen
    Ben Esposito is an American indie game designer best known for creating the physics-based puzzle game Donut County and the frenetic action title Neon White.
  • B. Michael Ferraro
    Michael Ferraro is a co-founder of Blue Sky Studios, the acclaimed animation company behind films such as the Ice Age series.
  • C. Mark Esposito
    Mark Esposito is a scholar and author known for his work on economics, business, and the impact of emerging technologies on the future of work and society.
  • D. Charles Nicoletti
    Charles Nicoletti was a Chicago mob hitman associated with the Chicago Outfit and reputed to be one of its most feared enforcers during the mid-20th century.
  • E. Michael DeLorenzo
    Michael DeLorenzo is an American actor, dancer, and musician best known for his roles on television series such as "New York Undercover" and "Fame."
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f26f50819085dfd0fbecd6394d completed April 18, 2026, 7:18 p.m.
Created at: April 10, 2026, 5:33 a.m.