Triple

T9402216
Position Surface form Disambiguated ID Type / Status
Subject John French E226500 entity
Predicate honorificSuffix P341 FINISHED
Object OM E1930 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: OM | Statement: [John French, honorificSuffix, OM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OM
Context triple: [John French, honorificSuffix, OM]
  • A. OM
    OM is an American experimental rock band known for its hypnotic, drone-influenced sound and spiritually themed compositions.
  • B. OM
    OM is the commonly used abbreviation for Olympique de Marseille, a major French professional football club based in Marseille.
  • C. OM
    OM is the post-nominal abbreviation used by recipients of the Order of the Cross of Terra Mariana, a high state decoration of Estonia typically awarded to foreign dignitaries for services to the Estonian state.
  • D. OM chosen
    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.
  • E. OM
    OM is the two-letter ISO 3166-1 alpha-2 country code assigned to Oman for international identification and data standards.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51be35cc8190bafad423a142c305 completed April 1, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1012ca6c0819098c427233d226dd2 completed April 4, 2026, 12:16 p.m.
Created at: March 30, 2026, 7:46 p.m.