Triple

T7240422
Position Surface form Disambiguated ID Type / Status
Subject Cora Crane E155338 entity
Predicate partner P1136 FINISHED
Object Stephen Crane E18127 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: Stephen Crane | Statement: [Cora Crane, partner, Stephen Crane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Crane
Context triple: [Cora Crane, partner, Stephen Crane]
  • A. Stephen Crane chosen
    Stephen Crane was an influential American author and journalist best known for his novel "The Red Badge of Courage" and his pioneering contributions to literary realism and naturalism.
  • B. Ambrose Bierce
    Ambrose Bierce was an American writer, journalist, and satirist best known for his darkly cynical short stories and the satirical reference work "The Devil’s Dictionary."
  • C. Jack London
    Jack London is a fictional protagonist from the comic book series "The Secret Service," around whom the story’s espionage-driven plot revolves.
  • D. Jack London
    Jack London was an American novelist and short-story writer best known for adventure classics such as "The Call of the Wild" and "White Fang."
  • E. Stephen Vincent Benét
    Stephen Vincent Benét was an American poet, short story writer, and novelist best known for works like the epic poem "John Brown’s Body" and the short story "The Devil and Daniel Webster."
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea39230481908401ead83d8666cd completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc4292c881909ca7b140a83ed53d completed March 28, 2026, 12:40 p.m.
Created at: March 27, 2026, 2:55 p.m.