Triple

T18662905
Position Surface form Disambiguated ID Type / Status
Subject Scully E456246 entity
Predicate creator P184 FINISHED
Object Stephen Crane 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: Stephen Crane | Statement: [Scully, creator, Stephen Crane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Crane
Context triple: [Scully, creator, 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. Joseph Stephen Crane
    Joseph Stephen Crane was an American restaurateur and actor best known for his marriage to Hollywood star Lana Turner and for founding the Luau and Kon-Tiki restaurant chains.
  • C. 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."
  • D. 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.
  • E. 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."
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5508c0d088190bef46fb3a3001f10 completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:48 a.m.