Triple

T1506540
Position Surface form Disambiguated ID Type / Status
Subject Shaquille O'Neal E33913 entity
Predicate familyName P18 FINISHED
Object O'Neal E33913 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: O'Neal | Statement: [Shaquille O'Neal, familyName, O'Neal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: O'Neal
Context triple: [Shaquille O'Neal, familyName, O'Neal]
  • A. Shaquille O'Neal chosen
    Shaquille O'Neal is a Hall of Fame American basketball center known for his dominant play in the NBA, where he won four championships and became one of the most recognizable athletes in the world.
  • B. Joe Bryant
    Joe Bryant is a former American professional basketball player and coach, best known for his NBA career in the 1970s and 1980s and his later coaching roles in the U.S. and overseas.
  • C. Earvin
    Earvin is the given first name of Magic Johnson, the legendary American basketball player and NBA Hall of Famer.
  • D. Maye
    Maye is the first name of Maye Musk, a Canadian-South African model and dietitian known for her long-running fashion career and as the mother of entrepreneur Elon Musk.
  • E. Jamal Mashburn
    Jamal Mashburn is a former American NBA All-Star forward known for his prolific scoring and standout college career at the University of Kentucky.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a88735f8a8819089177a4d3e4a0211 completed March 4, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad40136c448190836426aa203590a8 completed March 8, 2026, 9:23 a.m.
Created at: March 4, 2026, 7:24 p.m.