Triple

T21692087
Position Surface form Disambiguated ID Type / Status
Subject The Book of Urizen E535394 entity
Predicate featuresCharacter P626 FINISHED
Object Los 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: Los | Statement: [The Book of Urizen, featuresCharacter, Los]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Los
Context triple: [The Book of Urizen, featuresCharacter, Los]
  • A. Los chosen
    Los is a central mythological figure in William Blake’s prophetic works, often depicted as a creative, prophetic blacksmith embodying imagination and artistic inspiration.
  • B. Les
    Les is a small municipality in the Aran Valley of Catalonia, Spain, known for its Pyrenean mountain setting and traditional local culture.
  • C. Lou
    Lou is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by mutated creatures.
  • D. Lou
    Lou is a character in the television miniseries "The Continental: From the World of John Wick," set in the action-packed criminal underworld of the John Wick franchise.
  • E. Lou
    Lou is the given name of Lou Silver Harrison, an influential American composer known for blending Western and non-Western musical traditions.
  • 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_69e0c46a6ee481908836e1420fb78c9b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96d0d4048190abfc3e3e06c51b8d completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:45 p.m.