Triple

T3632783
Position Surface form Disambiguated ID Type / Status
Subject As I Lay Dying E76994 entity
Predicate followedBy P78 FINISHED
Object Sanctuary E145073 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: Sanctuary | Statement: [As I Lay Dying, followedBy, Sanctuary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanctuary
Context triple: [As I Lay Dying, followedBy, Sanctuary]
  • A. Sanctuary
    "Sanctuary" is a short story by Harlem Renaissance writer Nella Larsen that explores themes of racial injustice, guilt, and moral ambiguity in the Jim Crow South.
  • B. Sanctuary chosen
    Sanctuary is a dark, controversial novel by William Faulkner that explores violence, corruption, and moral decay in the American South.
  • C. Sanctuary of Truth
    The Sanctuary of Truth is an intricately carved all-wood temple and cultural monument in Pattaya, Thailand, showcasing traditional Thai architecture, mythology, and craftsmanship.
  • D. The Cry
    The Cry is a British television drama series adapted from Helen FitzGerald's novel, focusing on the psychological unravelling of a couple after their baby goes missing.
  • E. Asylum Avenue
    Asylum Avenue is a major thoroughfare in Hartford, Connecticut, running through the historic Asylum Hill neighborhood and connecting key civic, residential, and institutional areas of the city.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc30457608190840fb5b33f9965c4 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f1af1c48190a72effe80959bfb3 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:23 p.m.