Triple

T172038
Position Surface form Disambiguated ID Type / Status
Subject Her Majesty E3496 entity
Predicate hasAbbreviation P43 FINISHED
Object HM
HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
E21300 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: HM | Statement: [Her Majesty, hasAbbreviation, HM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HM
Context triple: [Her Majesty, hasAbbreviation, HM]
  • A. HMG
    HMG is the common abbreviation for His Majesty’s Government, the central executive authority of the United Kingdom responsible for national policy and administration.
  • B. HI
    HI is the standard two-letter U.S. postal abbreviation for the state of Hawaii.
  • C. HMT
    HMT is the commonly used abbreviation for HM Treasury, the United Kingdom government department responsible for economic and financial policy.
  • D. HMC
    HMC is a professional association of leading independent school heads in the United Kingdom and internationally.
  • E. OM
    OM is the post-nominal abbreviation used by members of the Order of Merit, a prestigious British honor recognizing distinguished service in the armed forces, science, art, literature, or the promotion of culture.
  • 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: HM
Triple: [Her Majesty, hasAbbreviation, HM]
Generated description
HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HM
Target entity description: HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
  • A. HMG
    HMG is the common abbreviation for His Majesty’s Government, the central executive authority of the United Kingdom responsible for national policy and administration.
  • B. HI
    HI is the standard two-letter U.S. postal abbreviation for the state of Hawaii.
  • C. HMT
    HMT is the commonly used abbreviation for HM Treasury, the United Kingdom government department responsible for economic and financial policy.
  • D. HMC
    HMC is a professional association of leading independent school heads in the United Kingdom and internationally.
  • E. OM
    OM is the post-nominal abbreviation used by members of the Order of Merit, a prestigious British honor recognizing distinguished service in the armed forces, science, art, literature, or the promotion of culture.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a258b94d00819098e90bdfa1306f9f completed Feb. 28, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2e3c131cc81909092b2aab26cd1ba completed Feb. 28, 2026, 12:46 p.m.
NEDg Description generation batch_69a2e43c273c8190ac28bb1826f30eb4 completed Feb. 28, 2026, 12:49 p.m.
NED2 Entity disambiguation (via description) batch_69a2e492948c8190a9338cf1a7b5acd8 completed Feb. 28, 2026, 12:50 p.m.
Created at: Feb. 28, 2026, 2:39 a.m.