Triple

T13898426
Position Surface form Disambiguated ID Type / Status
Subject Orders and Medals of Jamaica E334153 entity
Predicate hasPostNominalLetters P1804 FINISHED
Object MH
MH is a Jamaican post-nominal honorific indicating that the holder has been awarded a national order or medal for meritorious service.
E1068300 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: MH | Statement: [Orders and Medals of Jamaica, hasPostNominalLetters, MH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MH
Context triple: [Orders and Medals of Jamaica, hasPostNominalLetters, MH]
  • A. MH
    MH is the common abbreviation for the Memphis Hustle, the NBA G League affiliate of the Memphis Grizzlies.
  • B. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • C. MH
    MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
  • D. MH
    MH is the official vehicle registration code assigned to the Indian state of Maharashtra.
  • E. HM
    HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
  • 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: MH
Triple: [Orders and Medals of Jamaica, hasPostNominalLetters, MH]
Generated description
MH is a Jamaican post-nominal honorific indicating that the holder has been awarded a national order or medal for meritorious service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MH
Target entity description: MH is a Jamaican post-nominal honorific indicating that the holder has been awarded a national order or medal for meritorious service.
  • A. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • B. MH
    MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
  • C. MH
    MH is the official vehicle registration code assigned to the Indian state of Maharashtra.
  • D. MH
    MH is the common abbreviation for the Memphis Hustle, the NBA G League affiliate of the Memphis Grizzlies.
  • E. HM
    HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25d8897881908b770cdb565898d4 completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c720b4988190aee1f1f09877212d completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c86a3640819081ed689bd271f909 completed May 3, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69f7c9b2930c8190983f2c55a0dd35f6 completed May 3, 2026, 10:18 p.m.
Created at: April 9, 2026, 10:15 p.m.