Triple

T22707236
Position Surface form Disambiguated ID Type / Status
Subject Joseph Kessel E561488 entity
Predicate notableWork P4 FINISHED
Object Le Lion 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: Le Lion | Statement: [Joseph Kessel, notableWork, Le Lion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Lion
Context triple: [Joseph Kessel, notableWork, Le Lion]
  • A. Le Lion chosen
    Le Lion is a 1958 adventure novel by Joseph Kessel set in Kenya, exploring the bond between a young girl and a wild lion against the backdrop of colonial Africa and Maasai culture.
  • B. The Lion
    The Lion is the nickname of Lennox Lewis, the former undisputed world heavyweight boxing champion from Britain.
  • C. The Lion
    The Lion is a large, social big cat native to Africa and parts of Asia, renowned for its strength, pride-based groups, and iconic status as a symbol of courage and royalty.
  • D. La leona
    La leona is an Argentine film starring Isabel Sarli, known for its erotic melodramatic style and iconic status in Latin American cult cinema.
  • E. LION
    LION is the commonly used acronym for the Leiden Institute of Physics, a research and teaching institute at Leiden University in the Netherlands.
  • 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cff7588190a40c8cef0f3cd44a completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:17 p.m.