Triple

T16776455
Position Surface form Disambiguated ID Type / Status
Subject Cora Tull E407736 entity
Predicate appearsIn P795 FINISHED
Object As I Lay Dying E76994 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: As I Lay Dying | Statement: [Cora Tull, appearsIn, As I Lay Dying]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: As I Lay Dying
Context triple: [Cora Tull, appearsIn, As I Lay Dying]
  • A. As I Lay Dying
    As I Lay Dying is an American metalcore band known for its aggressive sound, melodic guitar work, and influential role in the 2000s metalcore scene.
  • B. As I Lay Dying chosen
    As I Lay Dying is a 1930 novel by William Faulkner, renowned for its multiple narrators and stream-of-consciousness style as it follows a Southern family's journey to bury their matriarch.
  • C. The Dead
    "The Dead" is a World War I poem by English poet Rupert Brooke that idealizes the noble sacrifice of fallen soldiers.
  • D. The Dead
    The Dead was a post-Jerry Garcia incarnation of the Grateful Dead, featuring surviving members of the band performing their classic repertoire in the 2000s.
  • E. The Dead
    "The Dead" is a 1987 drama film directed by John Huston, adapted from James Joyce’s short story, and widely regarded as one of his most poignant and acclaimed final works.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b03a646c8190b3944c9f0c25af27 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aafe1f8081909b9540aca6e7b9b7 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:22 a.m.