Triple

T1001157
Position Surface form Disambiguated ID Type / Status
Subject Indiana Pacers (ABA) E21604 entity
Predicate notablePlayer P304 FINISHED
Object Roger Brown E122792 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: Roger Brown | Statement: [Indiana Pacers (ABA), notablePlayer, Roger Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger Brown
Context triple: [Indiana Pacers (ABA), notablePlayer, Roger Brown]
  • A. Roger Brown chosen
    Roger Brown was a professional basketball player best known for his scoring and rebounding in the American Basketball Association during the 1970s.
  • B. Roy Hinson
    Roy Hinson is a former American professional basketball player and standout forward from Rutgers University who played several seasons in the NBA during the 1980s.
  • C. Armond Hill
    Armond Hill is a former American basketball player and coach best known for his standout collegiate career at Princeton University and subsequent role as an NBA guard.
  • D. Clifton Daniel
    Clifton Daniel was an American newspaper editor and managing editor of The New York Times, known also as the son-in-law of U.S. President Harry S. Truman.
  • E. Quincy Brown
    Quincy Brown is an American actor, singer, and model known for roles in films like "Dope" and the TV series "Star," as well as for his work in music and fashion.
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4fb18b88190ae2d620aaaff4f90 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c0bda208190b10b238a30466ea6 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:41 p.m.