Triple

T13028131
Position Surface form Disambiguated ID Type / Status
Subject Melle Mel E326358 entity
Predicate occupation P3 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: [Melle Mel, occupation, MC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MC
Context triple: [Melle Mel, occupation, MC]
  • A. 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.
  • B. MC chosen
    MC is a hip-hop master of ceremonies responsible for rapping, hosting, and energizing a crowd during performances or events.
  • C. MC
    MC is the commonly used abbreviation for Middlesex College, a public community college located in New Jersey.
  • D. MC
    MC is the commonly used abbreviation for Marlborough College, a prestigious independent boarding and day school in Wiltshire, England.
  • E. MC
    MC is a classic 40-player World of Warcraft raid instance located in Blackrock Mountain, known for its fiery theme and iconic boss Ragnaros the Firelord.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efc07488190a15f3e41ea2db45c completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c12191b08190abf4123995116ebc completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:53 p.m.