Triple

T2410673
Position Surface form Disambiguated ID Type / Status
Subject CMG E50380 entity
Predicate higherRank P301 FINISHED
Object DCMG E50379 NE FINISHED

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: DCMG | Statement: [CMG, higherRank, DCMG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DCMG
Context triple: [CMG, higherRank, DCMG]
  • A. DCMG chosen
    DCMG is a post-nominal title signifying appointment as a Dame Commander of the Order of St Michael and St George, a British order of chivalry typically awarded for distinguished service in foreign affairs or overseas service.
  • B. DMG Entertainment
    DMG Entertainment is a global media and entertainment company known for producing and financing films, television, and other content across international markets.
  • C. CMG
    CMG is a post-nominal honorific indicating appointment as a Companion of the Order of St Michael and St George, a British order of chivalry typically awarded for distinguished service in foreign affairs or overseas.
  • D. CMGC
    The CMGC was a specialized Canadian military unit formed during World War I to operate machine guns in support of infantry operations.
  • E. MICA Entertainment
    MICA Entertainment is a film production company known for helping finance and produce feature films such as the historical adventure drama "The Lost City of Z."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc9272cf4819089be118c8a49d7f9 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef09b92048190acfa3a85417f259c completed March 9, 2026, 4:08 p.m.
Created at: March 4, 2026, 7:58 p.m.