Triple

T23074999
Position Surface form Disambiguated ID Type / Status
Subject Moby Dick (1930 film) E575303 entity
Predicate basedOnAuthor P2806 FINISHED
Object Herman Melville 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: Herman Melville | Statement: [Moby Dick (1930 film), basedOnAuthor, Herman Melville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herman Melville
Context triple: [Moby Dick (1930 film), basedOnAuthor, Herman Melville]
  • A. Herman Melville chosen
    Herman Melville was a 19th-century American novelist, short story writer, and poet best known for his seafaring epic "Moby-Dick," now regarded as a cornerstone of American literature.
  • B. George W. Melville
    George W. Melville was a prominent 19th-century U.S. Navy engineer and Arctic explorer who made significant contributions to marine engineering and polar exploration.
  • C. Melville Cooper
    Melville Cooper was a British character actor known for his comic and often bumbling roles in classic Hollywood films of the 1930s and 1940s.
  • 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. 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.
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c62c200819099c92654493288ad completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.