Triple

T17672303
Position Surface form Disambiguated ID Type / Status
Subject The Raising of Lazarus E440551 entity
Predicate narrativeLocation P40 FINISHED
Object Bethany NE NERFINISHED

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: Bethany | Statement: [The Raising of Lazarus, narrativeLocation, Bethany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bethany
Context triple: [The Raising of Lazarus, narrativeLocation, Bethany]
  • A. Bethany
    Bethany is a small, rural town in south-central Connecticut known for its open spaces and residential character.
  • B. Bethany
    Bethany is the first name of Bethany Hamilton, the American professional surfer known for surviving a shark attack and returning to competitive surfing.
  • C. Bethany
    Bethany is a small city in central Oklahoma that functions largely as a residential suburb of Oklahoma City.
  • D. Bethany chosen
    Bethany is a village near Jerusalem mentioned in the New Testament, traditionally known as the home of Mary, Martha, and Lazarus and a frequent place visited by Jesus.
  • E. Nowell
    Nowell is an alternative English spelling of the traditional Christmas carol title “The First Noël,” reflecting an older form of the word "Noel."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f69b11c8190b09add33f81776b3 completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10 a.m.