Triple

T16815712
Position Surface form Disambiguated ID Type / Status
Subject 47 Ronin E408741 entity
Predicate director P255 FINISHED
Object Carl Rinsch NE NERFINISHED

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: Carl Rinsch | Statement: [47 Ronin, director, Carl Rinsch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl Rinsch
Context triple: [47 Ronin, director, Carl Rinsch]
  • A. Carl Rinsch chosen
    Carl Rinsch is a film director and commercial filmmaker best known for directing the fantasy action movie "47 Ronin" starring Keanu Reeves.
  • B. William Diehl
    William Diehl was an American novelist best known for his gritty, suspenseful legal and crime thrillers.
  • C. Carl Braun
    Carl Braun was a prominent American professional basketball player of the 1940s and 1950s, best known as a star guard for the New York Knicks and later a Hall of Famer.
  • D. Fred H. Rohr
    Fred H. Rohr was an American aviation pioneer and industrialist best known for founding Rohr Aircraft Corporation, a major manufacturer of aircraft components.
  • E. William Wiegand
    William Wiegand was an American writer and critic known for his contributions to mid-20th-century literary culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e1de908190aa3508770fb865cf completed April 18, 2026, 4:35 p.m.
Created at: April 10, 2026, 5:23 a.m.