Triple

T22096277
Position Surface form Disambiguated ID Type / Status
Subject Olivia Harlan E546041 entity
Predicate hasRelative P367 FINISHED
Object Bob Harlan NE NERFINISHED

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: Bob Harlan | Statement: [Olivia Harlan, hasRelative, Bob Harlan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Harlan
Context triple: [Olivia Harlan, hasRelative, Bob Harlan]
  • A. Bob Harlan chosen
    Bob Harlan is a longtime American sports executive best known for serving as president and CEO of the Green Bay Packers, where he oversaw the franchise’s modern resurgence.
  • B. Ed Hartwell
    Ed Hartwell is a former American football linebacker who played in the NFL, notably for the Baltimore Ravens and Atlanta Falcons.
  • C. Hank Corwin
    Hank Corwin is an acclaimed American film editor known for his impressionistic, nonlinear cutting style on films such as The Tree of Life, The Big Short, and Vice.
  • D. Harold Burdick
    Harold Burdick is an alias used by Harold Finch, the reclusive billionaire and computer genius from the television series "Person of Interest."
  • E. Harold Shannon
    Harold Shannon was a Canadian sports executive known for being one of the owners involved with the Toronto Huskies professional basketball team in the 1940s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e8f1f48190a5f1d9e96a6de688 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:30 p.m.