Triple

T4036684
Position Surface form Disambiguated ID Type / Status
Subject Oliver Platt E83843 entity
Predicate name P16 FINISHED
Object Oliver Platt E83843 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: Oliver Platt | Statement: [Oliver Platt, name, Oliver Platt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oliver Platt
Context triple: [Oliver Platt, name, Oliver Platt]
  • A. Oliver Platt chosen
    Oliver Platt is a Canadian-born American character actor known for his versatile performances in film, television, and theater, often portraying witty, urbane, or morally complex supporting roles.
  • B. Thomas Haden Church
    Thomas Haden Church is an American actor known for roles in the TV series "Wings" and films such as "Sideways" and "Spider-Man 3."
  • C. Joel Murray
    Joel Murray is an American actor and comedian known for his character roles in film and television, as well as for his voice work in animated projects.
  • D. Blake Perlman
    Blake Perlman is an American actress and singer known for roles in film and television, including appearances in projects associated with her father, actor Ron Perlman.
  • E. Jill Clayburgh
    Jill Clayburgh was an American actress acclaimed for her intelligent, nuanced performances in 1970s and 1980s films, including multiple Academy Award–nominated roles.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb349e648190b9f227df4cd76fa0 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5564436788190aff89ebfeeed6d9b completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:36 p.m.