Triple

T13419336
Position Surface form Disambiguated ID Type / Status
Subject Harry Callahan E313297 entity
Predicate createdBy P806 FINISHED
Object Dean Riesner E54234 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: Dean Riesner | Statement: [Harry Callahan, createdBy, Dean Riesner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dean Riesner
Context triple: [Harry Callahan, createdBy, Dean Riesner]
  • A. Dean Riesner chosen
    Dean Riesner was an American screenwriter best known for his work on films such as "Dirty Harry" and "Play Misty for Me."
  • B. Frank Banholzer
    Frank Banholzer is a lesser-known relative of the German-American poet and theater critic Stefan Brecht, associated with the extended Brecht family.
  • C. William Diehl
    William Diehl was an American novelist best known for his gritty, suspenseful legal and crime thrillers.
  • D. Eugene Baumann
    Eugene Baumann was a landscape architect known for his work designing and shaping the grounds of the planned residential community of Llewellyn Park in New Jersey.
  • E. Karl Nehring
    Karl Nehring is an American writer and music critic known for his work on classical music and audio reviewing.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb98e808190948013e8f24779c6 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff8752207c81908369bce03b56b25e completed May 9, 2026, 7:13 p.m.
Created at: April 9, 2026, 9:39 p.m.