Triple

T7358270
Position Surface form Disambiguated ID Type / Status
Subject Michael Jordan E169680 entity
Predicate hasBrand P1500 FINISHED
Object Air Jordan E170229 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: Air Jordan | Statement: [Michael Jordan, hasBrand, Air Jordan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air Jordan
Context triple: [Michael Jordan, hasBrand, Air Jordan]
  • A. Air Jordan chosen
    Air Jordan is a highly influential and iconic basketball and lifestyle sneaker brand created for Michael Jordan and produced by Nike.
  • B. Air Force Ones
    "Air Force Ones" is a 2002 hip hop song by Nelly that popularized and celebrated Nike Air Force 1 sneakers in mainstream culture.
  • C. Michael Bakari Jordan
    Michael Bakari Jordan is an American actor and producer best known for his roles in films such as "Fruitvale Station," "Creed," and "Black Panther."
  • D. High Top
    High Top is the highest of the three closely spaced summits that form the peak of Mount Le Conte in the Great Smoky Mountains of Tennessee.
  • E. Nike Ardilla
    Nike Ardilla was a popular Indonesian singer, actress, and teen idol of the early 1990s whose career was cut short by her tragic death in a car accident.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f13bf2e881909bc95b93a5664a4f completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802b69cb4819096815b1fac284840 completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 3:06 p.m.