Triple

T19297354
Position Surface form Disambiguated ID Type / Status
Subject Richard Farnsworth E482598 entity
Predicate notableWork P4 FINISHED
Object Misery 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: Misery | Statement: [Richard Farnsworth, notableWork, Misery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Misery
Context triple: [Richard Farnsworth, notableWork, Misery]
  • A. Misery chosen
    Misery is a 1990 psychological horror film, based on Stephen King’s novel, about a famous author held captive by an obsessive fan after a car accident.
  • B. Misery
    Misery is a psychological horror novel by Stephen King about a famous author held captive by his deranged “number one fan.”
  • C. Misery
    Misery is the first major section of the Heidelberg Catechism, focusing on humanity’s sinfulness and need for redemption.
  • D. Misery
    "Misery" is a song by the Beatles, written primarily by John Lennon with contributions from Paul McCartney, and released on their 1963 debut album "Please Please Me."
  • E. The Stranger Beside Me
    The Stranger Beside Me is a psychological thriller novel by British author Caroline England, exploring dark secrets and hidden tensions within seemingly ordinary relationships.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc86f8648190920d122bb141c6e5 completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.