Triple

T21049625
Position Surface form Disambiguated ID Type / Status
Subject Rolland E518539 entity
Predicate hasNotableBearer P458 FINISHED
Object Rolland Todd NE NERFINISHED

How this triple was built (3 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: Rolland Todd | Statement: [Rolland, hasNotableBearer, Rolland Todd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rolland Todd
Context triple: [Rolland, hasNotableBearer, Rolland Todd]
  • A. Rolland Lawrence
    Rolland Lawrence is a former American football cornerback best known for his standout career with the Atlanta Falcons in the 1970s, where he became one of the franchise’s top defensive players.
  • B. Roland Weary
    Roland Weary is a delusional, glory-obsessed American soldier in Kurt Vonnegut’s novel "Slaughterhouse-Five," whose fantasies of heroism contrast sharply with his incompetence and cruelty.
  • C. Rolland O'Regan
    Rolland O'Regan was a New Zealand surgeon and prominent civic leader known for his contributions to public health and local politics in Wellington.
  • D. Roland Burton
    Roland Burton is a central character on the television drama "Army Wives," known as a psychiatrist and one of the few male military spouses portrayed on the show.
  • E. Roland West
    Roland West was an American film director of the silent and early sound era, best known for his atmospheric crime dramas and for his association with the 1932 murder scandal involving actress Thelma Todd.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rolland Todd
Target entity description: Rolland Todd is an American basketball coach best known for serving as the first head coach of the NBA’s Portland Trail Blazers.
  • A. Rolland Lawrence
    Rolland Lawrence is a former American football cornerback best known for his standout career with the Atlanta Falcons in the 1970s, where he became one of the franchise’s top defensive players.
  • B. Roland Weary
    Roland Weary is a delusional, glory-obsessed American soldier in Kurt Vonnegut’s novel "Slaughterhouse-Five," whose fantasies of heroism contrast sharply with his incompetence and cruelty.
  • C. Rolland O'Regan
    Rolland O'Regan was a New Zealand surgeon and prominent civic leader known for his contributions to public health and local politics in Wellington.
  • D. Roland Burton
    Roland Burton is a central character on the television drama "Army Wives," known as a psychiatrist and one of the few male military spouses portrayed on the show.
  • E. Roland West
    Roland West was an American film director of the silent and early sound era, best known for his atmospheric crime dramas and for his association with the 1932 murder scandal involving actress Thelma Todd.
  • F. None of above. chosen

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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd79830881909fdac2f0ea48d28c completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:34 p.m.