Triple

T8992302
Position Surface form Disambiguated ID Type / Status
Subject Khartoum (1966 film) E214818 entity
Predicate starredActor P5563 FINISHED
Object Richard Johnson E327740 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: Richard Johnson | Statement: [Khartoum (1966 film), starredActor, Richard Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Johnson
Context triple: [Khartoum (1966 film), starredActor, Richard Johnson]
  • A. Richard Johnson chosen
    Richard Johnson was a British actor known for his work in mid-20th-century film and television, including prominent roles in war and horror movies.
  • B. Richard Johnson
    Richard Johnson is an Australian architect best known for designing prominent public and cultural buildings, including major national institutions.
  • C. John Spellman
    John Spellman was an American Republican politician who served as King County Executive before becoming the 18th governor of Washington state.
  • D. Jimmy Baird
    Jimmy Baird is an American former child actor known for his supporting roles in films and television during the 1950s.
  • E. Michael Maddox
    Michael Maddox was an English theatrical entrepreneur who played a key role in developing Russian theatre in the late 18th century, notably helping establish what became the Bolshoi Theatre in Moscow.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6876583081909d936dc3c3152587 completed April 1, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0c9659c8190ae7ff5df8e016d17 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:04 p.m.