Triple

T20486487
Position Surface form Disambiguated ID Type / Status
Subject Shane Williams E502606 entity
Predicate awardReceived P11 FINISHED
Object MBE 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: MBE | Statement: [Shane Williams, awardReceived, MBE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MBE
Context triple: [Shane Williams, 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. MEE
    MEE is China’s national government ministry responsible for formulating and enforcing environmental protection and ecological conservation policies.
  • C. MBT LAW
    MBT LAW is a portable, shoulder-fired anti-tank guided missile system designed for infantry use against modern armored vehicles.
  • D. 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.
  • E. BMBL
    BMBL is the stock ticker symbol for Bumble Inc., a dating and social networking company known for its women-first approach to initiating conversations.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b5b96c0819080c47064143cdbc9 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.