Triple

T15342930
Position Surface form Disambiguated ID Type / Status
Subject Karl May E366842 entity
Predicate name P16 FINISHED
Object Karl May E366842 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: Karl May | Statement: [Karl May, name, Karl May]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karl May
Context triple: [Karl May, name, Karl May]
  • A. Karl May chosen
    Karl May was a popular 19th-century German author best known for his adventure novels set in the American Old West and the Orient, featuring characters like Winnetou and Old Shatterhand.
  • B. Zane Grey
    Zane Grey was a prolific early 20th-century American author best known for his popular Western novels that helped define the genre in popular culture.
  • C. Charles Nordhoff
    Charles Nordhoff was an American writer best known for co-authoring popular adventure novels set in the South Pacific, including the classic Bounty trilogy.
  • D. H. Rider Haggard
    H. Rider Haggard was a British writer best known for his adventure novels set in exotic locations, such as "King Solomon's Mines" and "She."
  • E. Marcus Clarke
    Marcus Clarke was a 19th-century Australian novelist and journalist best known for his classic convict-era novel "For the Term of His Natural Life."
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e14d8088190876fceca75d12322 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01f70e688190bb6a073e49ff968c completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.