Triple

T16593522
Position Surface form Disambiguated ID Type / Status
Subject Howard E403148 entity
Predicate createdBy P806 FINISHED
Object B. Traven E400179 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: B. Traven | Statement: [Howard, createdBy, B. Traven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: B. Traven
Context triple: [Howard, createdBy, B. Traven]
  • A. B. Traven chosen
    B. Traven was a mysterious and pseudonymous 20th-century novelist best known for his politically charged adventure and social justice-themed works, including the novel that inspired the film "The Treasure of the Sierra Madre."
  • B. Günter Eich
    Günter Eich was a German poet and playwright, noted especially for his postwar radio plays and his association with the literary renewal movement in Germany.
  • C. Karl May
    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.
  • D. J. A. Chatwin
    J. A. Chatwin was a prominent 19th-century English architect known especially for his church restorations and civic buildings in the Midlands.
  • E. Joseph Kessel
    Joseph Kessel was a French novelist and journalist, known for his adventure and war-themed works that inspired numerous films and became classics of 20th-century French literature.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d6fcaa48190b1ba7dc3b792041a completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00759dea5c819083fe9fb7dee37a35 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:16 a.m.