Triple

T9506660
Position Surface form Disambiguated ID Type / Status
Subject Harry Gregg E229286 entity
Predicate honorificSuffix P341 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: [Harry Gregg, honorificSuffix, MBE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MBE
Context triple: [Harry Gregg, honorificSuffix, 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. MBT LAW
    MBT LAW is a portable, shoulder-fired anti-tank guided missile system designed for infantry use against modern armored vehicles.
  • C. M.B.
    M.B. is a set of Canadian post-nominal letters signifying that the holder has been awarded the Medal of Bravery for acts of courage.
  • D. MBJ
    MBJ is the IATA airport code for Sangster International Airport, the main tourist gateway serving Montego Bay, Jamaica.
  • E. 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.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9852b7e48190a8f69cbde10d2858 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a2494c081908579592fa0fee90b completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:57 p.m.