Triple

T8316637
Position Surface form Disambiguated ID Type / Status
Subject American Gothic E194720 entity
Predicate hasNotableWork P4 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: [American Gothic, hasNotableWork, As I Lay Dying]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: As I Lay Dying
Context triple: [American Gothic, hasNotableWork, As I Lay Dying]
  • A. 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.
  • B. The Dead
    "The Dead" is a World War I poem by English poet Rupert Brooke that idealizes the noble sacrifice of fallen soldiers.
  • C. 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.
  • D. Murder by Death
    Murder by Death is a 1976 comedy-mystery film that parodies classic detective fiction, featuring an ensemble cast of famous sleuth archetypes invited to a sinister dinner party.
  • E. Jesus' Son
    "Jesus' Son" is a 1999 independent drama film, based on Denis Johnson's short stories, about a young drifter's drug-fueled journey toward redemption.
  • 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_69ca82e6e2648190a31eaf6f4f757b2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f557a7881908adcf353f7297848 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd958cf0808190af59e36c35b91e58 completed April 1, 2026, 10 p.m.
Created at: March 30, 2026, 5:55 p.m.