Triple

T1252192
Position Surface form Disambiguated ID Type / Status
Subject Red Dust E26901 entity
Predicate starring P1507 FINISHED
Object Donald Crisp E66784 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: Donald Crisp | Statement: [Red Dust, starring, Donald Crisp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Crisp
Context triple: [Red Dust, starring, Donald Crisp]
  • A. Donald Crisp chosen
    Donald Crisp was a British-born American film actor and director best known for his prolific career in early Hollywood cinema, including roles in numerous silent and sound films.
  • B. Eddie Albert
    Eddie Albert was an American actor best known for his roles in film and television, particularly the sitcom "Green Acres" and numerous classic Hollywood movies.
  • C. Charles Bickford
    Charles Bickford was an American character actor known for his rugged screen presence and acclaimed supporting roles in numerous classic Hollywood films.
  • D. Burgess Meredith
    Burgess Meredith was an American actor and director best known for his versatile character roles in film, television, and theater, including his iconic performance as the Penguin in the 1960s Batman TV series.
  • E. Peter Boyle
    Peter Boyle was an American character actor best known for his roles in films like "Young Frankenstein" and "Taxi Driver" and the TV series "Everybody Loves Raymond."
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf875cf48190b6781d41097ee39b completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad67f9b0dc8190a5b38450c227eac5 completed March 8, 2026, 12:13 p.m.
Created at: March 1, 2026, 7:47 p.m.