Triple

T17399623
Position Surface form Disambiguated ID Type / Status
Subject Hatchet E423051 entity
Predicate stars P1956 FINISHED
Object Richard Riehle 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: Richard Riehle | Statement: [Hatchet, stars, Richard Riehle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Riehle
Context triple: [Hatchet, stars, Richard Riehle]
  • A. Richard Riehle chosen
    Richard Riehle is an American character actor known for his prolific work in film and television, including memorable roles in movies like "Office Space" and numerous guest appearances on popular TV series.
  • B. Richard Rieke
    Richard Rieke is a scholar and author known for his work on argumentation and critical thinking, particularly through his influential textbook "An Introduction to Reasoning."
  • C. Richard Reitinger
    Richard Reitinger is a German screenwriter best known for co-writing Wim Wenders’ acclaimed film "Wings of Desire."
  • D. William Diehl
    William Diehl was an American novelist best known for his gritty, suspenseful legal and crime thrillers.
  • E. Richard J. Hieb
    Richard J. Hieb is a former NASA astronaut and engineer who flew on three Space Shuttle missions in the early 1990s, contributing to satellite deployment, repair, and microgravity research.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43ac0596481908c400916d5c1b971 completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.