Triple

T16642410
Position Surface form Disambiguated ID Type / Status
Subject Matt O'Leary E404373 entity
Predicate notableWork P4 FINISHED
Object Death Sentence E1132694 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: Death Sentence | Statement: [Matt O'Leary, notableWork, Death Sentence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Death Sentence
Context triple: [Matt O'Leary, notableWork, Death Sentence]
  • A. Death Sentence chosen
    Death Sentence is a British comic book series that follows individuals who gain incredible powers after contracting a sexually transmitted virus that also guarantees their death within six months.
  • B. The Sentence Is Death
    The Sentence Is Death is a contemporary crime novel by Anthony Horowitz featuring a metafictional twist in which the author himself investigates a murder alongside eccentric detective Daniel Hawthorne.
  • C. Death Penalties
    "Death Penalties" is a crime novel by Paula Gosling that blends mystery and suspense around a series of murders linked to the world of professional sports.
  • D. Life Sentence
    "Life Sentence" is a film featuring acclaimed Mexican actress Ana Ofelia Murguía in a prominent role.
  • E. Life Sentence
    Life Sentence is an American dramedy television series that follows a young woman who must face the consequences of her choices after learning her terminal cancer has been cured.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad27b5481908316b4f23fb8bc32 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084bb4cec819091d9b7b2a09248ee completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.