Triple

T11666918
Position Surface form Disambiguated ID Type / Status
Subject The Big Store E277272 entity
Predicate director P255 FINISHED
Object Charles Reisner E752404 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: Charles Reisner | Statement: [The Big Store, director, Charles Reisner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Reisner
Context triple: [The Big Store, director, Charles Reisner]
  • A. Charles Reisner chosen
    Charles Reisner was an American film director and actor best known for his work on silent and early sound comedies in Hollywood.
  • B. Russell Metty
    Russell Metty was an American cinematographer renowned for his work on classic Hollywood films, including his Oscar-winning photography for "Spartacus" (1960).
  • C. Clarence Kolster
    Clarence Kolster was an American film editor best known for his work on classic Hollywood films in the early 20th century.
  • D. Austin Straubel
    Austin Straubel was a U.S. Army Air Forces officer and World War II aviator from Wisconsin who was killed in action and later honored as the namesake of Green Bay’s main airport.
  • E. Gregory Ratoff
    Gregory Ratoff was a Russian-born American actor, director, and producer known for his character roles in Hollywood films of the 1930s and 1940s.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a43f438081909da476294a057c38 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef82e252fc819082b5c8a33fcf861a completed April 27, 2026, 3:38 p.m.
Created at: April 8, 2026, 9:39 p.m.