Triple

T1276795
Position Surface form Disambiguated ID Type / Status
Subject The Brave One E27232 entity
Predicate starring P1507 FINISHED
Object Naveen Andrews E49514 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: Naveen Andrews | Statement: [The Brave One, starring, Naveen Andrews]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naveen Andrews
Context triple: [The Brave One, starring, Naveen Andrews]
  • A. Naveen Andrews chosen
    Naveen Andrews is a British actor best known for his roles in the television series "Lost" and films such as "The English Patient."
  • B. Neal Mohan
    Neal Mohan is an Indian-American technology executive and digital advertising expert who serves as the CEO of YouTube.
  • C. Amarjeet Sohi
    Amarjeet Sohi is a Canadian politician who serves as the mayor of Edmonton and is a former federal cabinet minister.
  • D. Arjun Sengupta
    Arjun Sengupta was an Indian economist, diplomat, and politician known for his work on human rights, poverty, and the informal economy, including serving as UN Special Rapporteur on the Right to Development.
  • E. Sanjay Reddy
    Sanjay Reddy is an Indian economist known for his work in development economics, poverty measurement, and global justice.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0907f6081908df15679227341b5 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad51996dc08190afecb40095e3d3e2 completed March 8, 2026, 10:38 a.m.
Created at: March 1, 2026, 7:50 p.m.