Triple

T14345938
Position Surface form Disambiguated ID Type / Status
Subject Sue Brierley E355719 entity
Predicate relatedWork P37 FINISHED
Object Lion (film) E870944 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: Lion (film) | Statement: [Sue Brierley, relatedWork, Lion (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lion (film)
Context triple: [Sue Brierley, relatedWork, Lion (film)]
  • A. Lion (2016 film) chosen
    Lion (2016 film) is a biographical drama about an Indian boy separated from his family who, as an adult in Australia, uses Google Earth to search for his birthplace and reunite with his mother.
  • B. LION
    LION is the commonly used acronym for the Leiden Institute of Physics, a research and teaching institute at Leiden University in the Netherlands.
  • C. The Lion
    The Lion is the nickname of Lennox Lewis, the former undisputed world heavyweight boxing champion from Britain.
  • D. 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.
  • E. The Lion King
    The Lion King is a landmark 1994 Disney animated film that follows a young lion prince’s journey from exile to kingship and is celebrated for its music, storytelling, and cultural impact.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8b81bc8190ace2a575faf55cc0 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5508da0c8190a8ea44ca737cf352 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:14 a.m.