Triple

T10653204
Position Surface form Disambiguated ID Type / Status
Subject Order of Mendi for Bravery E251023 entity
Predicate postNominalLetters P1600 FINISHED
Object OMBS
OMBS is the post-nominal abbreviation used by recipients of South Africa’s Order of Mendi for Bravery.
E877370 NE FINISHED

How this triple was built (4 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: OMBS | Statement: [Order of Mendi for Bravery, postNominalLetters, OMBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OMBS
Context triple: [Order of Mendi for Bravery, postNominalLetters, OMBS]
  • A. OMB
    OMB is the New York City Office of Management and Budget, the municipal agency responsible for preparing and overseeing the city's annual budget and financial plan.
  • B. OPM
    OPM is a Yamaha FM synthesis sound chip, widely used in 1980s arcade machines and computers for generating rich, multi-voice music and sound effects.
  • C. OPM
    OPM is the United States federal agency responsible for managing the civil service, including federal employee hiring, benefits, and human resources policy.
  • D. OMS
    OMS is the abbreviation for the Space Shuttle’s Orbital Maneuvering System, which provided the thrust needed for orbital insertion, adjustment, and deorbit burns.
  • E. OMB OGC
    OMB OGC is the legal office within the U.S. Office of Management and Budget that provides counsel on budgetary, regulatory, and administrative law matters.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: OMBS
Triple: [Order of Mendi for Bravery, postNominalLetters, OMBS]
Generated description
OMBS is the post-nominal abbreviation used by recipients of South Africa’s Order of Mendi for Bravery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OMBS
Target entity description: OMBS is the post-nominal abbreviation used by recipients of South Africa’s Order of Mendi for Bravery.
  • A. OMB
    OMB is the New York City Office of Management and Budget, the municipal agency responsible for preparing and overseeing the city's annual budget and financial plan.
  • B. OPM
    OPM is a Yamaha FM synthesis sound chip, widely used in 1980s arcade machines and computers for generating rich, multi-voice music and sound effects.
  • C. OPM
    OPM is the United States federal agency responsible for managing the civil service, including federal employee hiring, benefits, and human resources policy.
  • D. OMS
    OMS is the abbreviation for the Space Shuttle’s Orbital Maneuvering System, which provided the thrust needed for orbital insertion, adjustment, and deorbit burns.
  • E. OMB OGC
    OMB OGC is the legal office within the U.S. Office of Management and Budget that provides counsel on budgetary, regulatory, and administrative law matters.
  • F. None of above. chosen

Provenance (5 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dff85674819099bf40c9f4fede15 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a71fac48190a6d7c99ebc5aad0a completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97cc2b66c8190909a23927fbe3af5 completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e13913081908dd1fb60fa44db05 completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:06 p.m.