Triple

T3893858
Position Surface form Disambiguated ID Type / Status
Subject The Game E88123 entity
Predicate starring P1507 FINISHED
Object Peter Donat E406007 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: Peter Donat | Statement: [The Game, starring, Peter Donat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Donat
Context triple: [The Game, starring, Peter Donat]
  • A. Peter Donat chosen
    Peter Donat was a Canadian-American actor known for his character roles in film and television, including appearances in "The X-Files" and "The Godfather Part II."
  • B. Michael Hordern
    Michael Hordern was an English actor renowned for his distinguished stage and screen career, often noted for his Shakespearean roles and character work in British film and television.
  • C. Philip Anthony Hopkins
    Philip Anthony Hopkins is a Welsh actor renowned for his intense and versatile performances in film and theatre, particularly his iconic role as Hannibal Lecter in "The Silence of the Lambs."
  • D. Reggie Brown
    Reggie Brown is an American entrepreneur best known as a co-founder of Snapchat, the multimedia messaging app developed by Snap Inc.
  • E. Jonathan Pryce
    Jonathan Pryce is a Welsh actor acclaimed for his versatile performances in film, television, and theatre, including roles in "Brazil," the "Pirates of the Caribbean" series, and "Game of Thrones."
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecd06cbc8190938d9f91388ad290 completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b74b0cd08190bebb483a72d0b59a completed March 14, 2026, 7:30 p.m.
Created at: March 9, 2026, 3:21 p.m.