Triple

T17172667
Position Surface form Disambiguated ID Type / Status
Subject Big Gipp E416774 entity
Predicate hasRole P161 FINISHED
Object MC E451619 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: MC | Statement: [Big Gipp, hasRole, MC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MC
Context triple: [Big Gipp, hasRole, MC]
  • A. MC
    MC is the official abbreviation for NATO’s highest military authority, the NATO Military Committee.
  • B. MC
    MC is the postnominal abbreviation used to denote recipients of the Military Cross, a British military decoration awarded for gallantry during active operations against the enemy.
  • C. MC chosen
    MC is a hip-hop master of ceremonies responsible for rapping, hosting, and energizing a crowd during performances or events.
  • D. MC
    MC is the commonly used abbreviation for Middlesex College, a public community college located in New Jersey.
  • E. MC
    MC is the commonly used abbreviation for Marlborough College, a prestigious independent boarding and day school in Wiltshire, England.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0ac22481909e992bb3a6ba36ad completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148415c788190a4248b097f323d03 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.