Triple

T21743274
Position Surface form Disambiguated ID Type / Status
Subject Sean Whalen E536719 entity
Predicate name P16 FINISHED
Object Sean Whalen 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: Sean Whalen | Statement: [Sean Whalen, name, Sean Whalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sean Whalen
Context triple: [Sean Whalen, name, Sean Whalen]
  • A. Sean Whalen chosen
    Sean Whalen is an American character actor known for his distinctive, often quirky roles in film and television, including horror and cult favorites.
  • B. Jay Williams
    Jay Williams is a former American basketball point guard best known for his standout collegiate career at Duke University and subsequent tenure in the NBA with the Chicago Bulls.
  • C. Charles Makley
    Charles Makley was an American bank robber best known as a prominent member of John Dillinger’s notorious Depression-era gang.
  • D. Jamal Crawford
    Jamal Crawford is an American former NBA guard renowned for his elite ball-handling, prolific scoring off the bench, and record three Sixth Man of the Year awards.
  • E. Jerramy Stevens
    Jerramy Stevens is a former American football tight end who played in the NFL, primarily for the Seattle Seahawks and Tampa Bay Buccaneers.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a74592c8190959af631d72df479 completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:49 p.m.