Triple

T16256813
Position Surface form Disambiguated ID Type / Status
Subject Betty Joan Perske E394650 entity
Predicate notableWork P4 FINISHED
Object Misery (stage adaptation) E37480 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: Misery (stage adaptation) | Statement: [Betty Joan Perske, notableWork, Misery (stage adaptation)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Misery (stage adaptation)
Context triple: [Betty Joan Perske, notableWork, Misery (stage adaptation)]
  • A. 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."
  • B. Misery
    Misery is the first major section of the Heidelberg Catechism, focusing on humanity’s sinfulness and need for redemption.
  • C. Misery chosen
    Misery is a psychological horror novel by Stephen King about a famous author held captive by his deranged “number one fan.”
  • D. Misery Business
    "Misery Business" is a breakthrough pop-punk/emo song by American rock band Paramore, widely recognized for propelling them to mainstream popularity in the late 2000s.
  • E. Misery Loves Company
    Misery Loves Company is a short-lived 1990s American sitcom best known for featuring Jane Leeves in one of her early television roles before her breakout on Frasier.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2459b1624819086bf681075097235 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000eebcfe481909822290d3a7b361c completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.