Triple

T5042763
Position Surface form Disambiguated ID Type / Status
Subject Winter Kills E113583 entity
Predicate producer P490 FINISHED
Object William Richert E488991 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: William Richert | Statement: [Winter Kills, producer, William Richert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Richert
Context triple: [Winter Kills, producer, William Richert]
  • A. William Richert chosen
    William Richert is an American filmmaker, screenwriter, and actor best known for directing the political satire thriller "Winter Kills."
  • B. Albert Bloch
    Albert Bloch was an American modernist painter best known for his association with the German Expressionist movement and his participation in the Der Blaue Reiter group.
  • C. Frederick Peters
    Frederick Peters was the brother of classic Hollywood actress Carole Lombard, connected to her family life outside her film career.
  • D. Charles Rackoff
    Charles Rackoff is a Canadian computer scientist known for his influential work in cryptography and computational complexity theory.
  • E. Philip Voss
    Philip Voss was a British actor known for his extensive work in theatre, television, and radio, including roles with the Royal Shakespeare Company and appearances in popular UK dramas.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73df8f7481909a8b86c4ae69aab9 completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb0f746788190bf73b8b5069e89cb completed March 21, 2026, 2:53 p.m.
Created at: March 20, 2026, 1:37 p.m.