Triple

T9480934
Position Surface form Disambiguated ID Type / Status
Subject Paul Wiggin E228634 entity
Predicate name P16 FINISHED
Object Paul Wiggin E228634 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: Paul Wiggin | Statement: [Paul Wiggin, name, Paul Wiggin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Wiggin
Context triple: [Paul Wiggin, name, Paul Wiggin]
  • A. Paul Wiggin chosen
    Paul Wiggin is a former American football defensive end and coach best known for his long NFL playing career with the Cleveland Browns and subsequent coaching roles at both the professional and college levels.
  • B. Max Dennison
    Max Dennison is the skeptical teenage protagonist of the Halloween-themed fantasy film "Hocus Pocus," whose actions accidentally resurrect three witches in Salem.
  • C. Paul Schoolman
    Paul Schoolman is a filmmaker and writer best known for his work on independent films and for being married to South African actress Alice Krige.
  • D. Paul Gilpin
    Paul Gilpin is a cinematographer best known for his work on the adventure film "Tarzan and the Lost City."
  • E. Russell Winters
    Russell Winters is a fictional character from the 2012 ensemble comedy-drama film "Darling Companion," which centers on family relationships and the search for a lost dog.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd8018645c8190823d82a93635b345 completed April 1, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152670dcc8190abcaabbd62c97a34 completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 7:54 p.m.