Triple

T5062771
Position Surface form Disambiguated ID Type / Status
Subject Brasenose College, Oxford E114063 entity
Predicate motto P42 FINISHED
Object Manners Makyth Man E41233 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: Manners Makyth Man | Statement: [Brasenose College, Oxford, motto, Manners Makyth Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manners Makyth Man
Context triple: [Brasenose College, Oxford, motto, Manners Makyth Man]
  • A. Manners Makyth Man chosen
    Manners Makyth Man is the historic moral maxim emphasizing the importance of good conduct and character, famously associated with Winchester College.
  • B. No Manners
    "No Manners" is a song by American singer Teyana Taylor from her 2018 R&B album "K.T.S.E."
  • C. Master Man
    Master Man is a Nazi supervillain in Marvel Comics, often portrayed as a physically enhanced adversary of the World War II–era superhero team the Invaders.
  • D. Mummer
    "Mummer" is a 1982 studio album by the English rock band XTC, noted for its pastoral, acoustic-leaning sound and reflective songwriting.
  • E. The Mister
    The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7475be3c819085cde8ec544c407e completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea497fed0819098746fd8917f041c completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:38 p.m.