Triple

T1034284
Position Surface form Disambiguated ID Type / Status
Subject The Queen's Gallantry Medal E22323 entity
Predicate postNominals P1610 FINISHED
Object QGM
QGM is the post-nominal letters used to denote recipients of The Queen's Gallantry Medal, a British decoration awarded for exemplary acts of bravery.
 E120074 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: QGM | Statement: [The Queen's Gallantry Medal, postNominals, QGM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QGM
Context triple: [The Queen's Gallantry Medal, postNominals, QGM]
  • A. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • B. GROM
    GROM is Poland’s elite special operations unit renowned for high-risk counterterrorism, hostage rescue, and unconventional warfare missions.
  • C. GNQ
    GNQ is the three-letter ISO 3166-1 alpha-3 country code assigned to Equatorial Guinea.
  • D. QR
    QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
  • E. QUNO
    QUNO is a Quaker organization that engages in quiet diplomacy and advocacy at the United Nations on issues such as peace, human rights, and social justice.
  • 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: QGM
Triple: [The Queen's Gallantry Medal, postNominals, QGM]
Generated description
QGM is the post-nominal letters used to denote recipients of The Queen's Gallantry Medal, a British decoration awarded for exemplary acts of bravery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QGM
Target entity description: QGM is the post-nominal letters used to denote recipients of The Queen's Gallantry Medal, a British decoration awarded for exemplary acts of bravery.
  • A. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • B. GROM
    GROM is Poland’s elite special operations unit renowned for high-risk counterterrorism, hostage rescue, and unconventional warfare missions.
  • C. GNQ
    GNQ is the three-letter ISO 3166-1 alpha-3 country code assigned to Equatorial Guinea.
  • D. QR
    QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
  • E. QUNO
    QUNO is a Quaker organization that engages in quiet diplomacy and advocacy at the United Nations on issues such as peace, human rights, and social justice.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bb71e7f88190bf33bbe5ef2c68ff completed March 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc15a6c81909a71bf17b5cd4019 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3c7d16748190a95aaffd04a867b3 completed March 7, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69ac3ce827b88190a5de06c695ad4ecb completed March 7, 2026, 2:57 p.m.
Created at: March 1, 2026, 7:41 p.m.