Triple

T5839005
Position Surface form Disambiguated ID Type / Status
Subject Dan Snow E129544 entity
Predicate awardReceived P11 FINISHED
Object MBE E47389 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: MBE | Statement: [Dan Snow, awardReceived, MBE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MBE
Context triple: [Dan Snow, awardReceived, MBE]
  • A. MBE chosen
    MBE is a British honour awarded by the monarch to individuals for significant achievement or outstanding service to the community as part of the Order of the British Empire.
  • B. MBJ
    MBJ is the IATA airport code for Sangster International Airport, the main tourist gateway serving Montego Bay, Jamaica.
  • C. MDBA
    MDBA is the acronym for the Murray–Darling Basin Authority, the Australian government agency responsible for managing the Murray–Darling Basin’s water resources.
  • D. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • E. CBE
    CBE is the Central Bank of Egypt, the country’s primary monetary authority responsible for issuing currency, formulating monetary policy, and regulating the banking sector.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a852f88190a5d2c4b24ee17491 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a19e4ec4819099fa5c6fe9a6a257 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:54 p.m.