Triple

T12438404
Position Surface form Disambiguated ID Type / Status
Subject Michael Bakari Jordan E297207 entity
Predicate middleName P143 FINISHED
Object Bakari E297208 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: Bakari | Statement: [Michael Bakari Jordan, middleName, Bakari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bakari
Context triple: [Michael Bakari Jordan, middleName, Bakari]
  • A. Bakari chosen
    Bakari is the middle name of American actor and filmmaker Michael B. Jordan, known for roles in films like "Creed" and "Black Panther."
  • B. Bakare
    Bakare was an ancient Egyptian royal name or throne name associated with the Kushite pharaoh Tantamani of the 25th Dynasty.
  • C. Bakwa
    Bakwa is a town and district center in Afghanistan known for its location in the southwestern Farah Province.
  • D. Bakairi
    Bakairi is an indigenous Cariban language spoken by the Bakairi people of central Brazil.
  • E. Bajelani
    Bajelani is a Northwestern Iranian language variety spoken primarily by the Bajelani Kurdish community in parts of Iraq and Iran.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8dc0f881908a3da736d8947ce1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f0911a08190ba84a20950762e68 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.