Triple

T2299649
Position Surface form Disambiguated ID Type / Status
Subject Wilt Chamberlain E51699 entity
Predicate nickname P55 FINISHED
Object Wilt E51699 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: Wilt | Statement: [Wilt Chamberlain, nickname, Wilt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilt
Context triple: [Wilt Chamberlain, nickname, Wilt]
  • A. 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.
  • B. Wilt Chamberlain chosen
    Wilt Chamberlain was a dominant Hall of Fame NBA center renowned for his scoring, rebounding records, and his legendary 100-point game.
  • C. Dominique Wilkins
    Dominique Wilkins is a Hall of Fame American basketball player renowned for his prolific scoring, spectacular dunking ability, and starring role in the NBA during the 1980s and early 1990s.
  • D. Bryant
    Bryant is the middle name of James B. Conant, the influential American chemist, educator, and president of Harvard University.
  • E. Bryant
    Bryant is a common English surname borne by numerous notable figures in American history, literature, sports, and public life.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5ec3c948190b47ea763812a1cf5 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f2e338881908e09d19f469a59ce completed March 9, 2026, 8:05 a.m.
Created at: March 4, 2026, 7:49 p.m.