Triple

T16486012
Position Surface form Disambiguated ID Type / Status
Subject Charles Edward Greene E400440 entity
Predicate nickname P55 FINISHED
Object Mean Joe Greene E68430 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: Mean Joe Greene | Statement: [Charles Edward Greene, nickname, Mean Joe Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mean Joe Greene
Context triple: [Charles Edward Greene, nickname, Mean Joe Greene]
  • A. Joe Greene chosen
    Joe Greene is a legendary Pro Football Hall of Fame defensive tackle who anchored the Pittsburgh Steelers' dominant "Steel Curtain" defense in the 1970s.
  • B. Franco Harris
    Franco Harris was a Hall of Fame NFL running back best known for his role in the Pittsburgh Steelers’ 1970s dynasty and the iconic “Immaculate Reception.”
  • C. Billy Sims
    Billy Sims is a former American football running back who won the 1978 Heisman Trophy at the University of Oklahoma and became a Pro Bowl player for the Detroit Lions in the NFL.
  • D. Frank Clark
    Frank Clark was an early 20th-century American film actor known for his roles in silent-era adventure and drama productions.
  • E. Gale Sayers
    Gale Sayers was a Hall of Fame NFL running back for the Chicago Bears, renowned for his electrifying speed and elusive running style during the 1960s.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e068fac8190a0971f548848fcfe completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00582275308190a0fb3944d74916cf completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:13 a.m.