Triple

T8728904
Position Surface form Disambiguated ID Type / Status
Subject Michael Jordan Trophy E207201 entity
Predicate namedAfter P63 FINISHED
Object Michael Jordan E30880 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: Michael Jordan | Statement: [Michael Jordan Trophy, namedAfter, Michael Jordan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Jordan
Context triple: [Michael Jordan Trophy, namedAfter, Michael Jordan]
  • A. Michael Jordan chosen
    Michael Jordan is a legendary American basketball player widely regarded as one of the greatest athletes in the history of the sport.
  • B. Michael Jordan
    Michael Jordan is a prominent computer scientist and statistician known for his influential work in machine learning, probabilistic graphical models, and statistical inference.
  • 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. Kobe Bryant
    Kobe Bryant was an American professional basketball player, primarily with the Los Angeles Lakers, widely regarded as one of the greatest players in NBA history.
  • E. Kareem Abdul-Jabbar
    Kareem Abdul-Jabbar is a legendary American basketball center, the NBA’s all-time leading scorer for decades and a key figure in multiple championship teams, especially with the Los Angeles Lakers.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d19fdc88190860e0c9c93ab79ce completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf2923abc48190a5b6027c2e4f1db7 completed April 3, 2026, 2:42 a.m.
Created at: March 30, 2026, 6:37 p.m.