Triple

T7962800
Position Surface form Disambiguated ID Type / Status
Subject Oladapo Daniel Oyebanjo E184915 entity
Predicate notableWork P4 FINISHED
Object Mr Endowed E184921 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: Mr Endowed | Statement: [Oladapo Daniel Oyebanjo, notableWork, Mr Endowed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr Endowed
Context triple: [Oladapo Daniel Oyebanjo, notableWork, Mr Endowed]
  • A. Mr Endowed chosen
    "Mr Endowed" is a popular Afrobeat song by Nigerian artist D'banj, known for its catchy rhythm and celebration of wealth and success.
  • B. Mr. Grey
    Mr. Grey is a mysterious, coldly efficient criminal mastermind who leads the subway hijacking in the thriller "The Taking of Pelham One Two Three."
  • C. The Lusty Men
    The Lusty Men is a 1952 American Western drama film directed by Nicholas Ray that explores the dangerous, transient world of rodeo cowboys and the personal costs of their pursuit of glory.
  • D. 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.
  • E. Mr Loverman
    Mr Loverman is a critically acclaimed novel by Bernardine Evaristo that explores the life, sexuality, and hidden desires of an elderly Antiguan-British man in London.
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b9df72081908d33925da10192e9 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe08c36f48190b005c6c92ad813d0 completed March 31, 2026, 2:56 p.m.
Created at: March 30, 2026, 5:12 p.m.