Triple

T10572238
Position Surface form Disambiguated ID Type / Status
Subject Bei Maejor E249511 entity
Predicate stageName P7872 FINISHED
Object Maejor E249511 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: Maejor | Statement: [Bei Maejor, stageName, Maejor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maejor
Context triple: [Bei Maejor, stageName, Maejor]
  • A. Bei Maejor chosen
    Bei Maejor, also known as Maejor, is an American singer, songwriter, and record producer recognized for his work in R&B and hip-hop music.
  • B. We Major
    "We Major" is a celebratory, extended hip-hop track by Kanye West featuring Nas and Really Doe, known for its lush production and triumphant, laid-back vibe.
  • C. MAJ
    MAJ is the IATA airport code for Marshall Islands International Airport, the main air gateway to Majuro in the Marshall Islands.
  • D. Majha
    Majha is a culturally significant region of Punjab in northern India, traditionally known as the heartland of Sikh culture and history.
  • E. The Major and the Minor
    The Major and the Minor is a 1942 romantic comedy film directed by Billy Wilder, starring Ginger Rogers as a woman who disguises herself as a twelve-year-old girl to buy a cheaper train ticket, leading to a series of comedic misunderstandings.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52747a8d88190ab59333937180edc completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b5025b88190a078f5ad7b9cb3d5 completed April 10, 2026, 9:27 p.m.
Created at: April 6, 2026, 12:37 p.m.