Triple

T16485693
Position Surface form Disambiguated ID Type / Status
Subject Robert Cummings E400433 entity
Predicate alsoKnownAs P39 FINISHED
Object Bob Cummings E974156 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: Bob Cummings | Statement: [Robert Cummings, alsoKnownAs, Bob Cummings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Cummings
Context triple: [Robert Cummings, alsoKnownAs, Bob Cummings]
  • A. Bob Cummings chosen
    Bob Cummings was an American actor and television star best known for his charming comedic roles in film and early TV sitcoms such as "The Bob Cummings Show."
  • B. Chris Penn
    Chris Penn was an American character actor known for his roles in films such as "Reservoir Dogs," "Footloose," and "True Romance."
  • C. Adam Beach
    Adam Beach is a Canadian First Nations actor known for his roles in films such as "Smoke Signals," "Windtalkers," and "Flags of Our Fathers," as well as various television series.
  • D. Kevin James
    Kevin James is an American actor and comedian best known for starring in the sitcom "The King of Queens" and films such as "Paul Blart: Mall Cop."
  • E. Leon Allen Goslin
    Leon Allen "Goose" Goslin was a Hall of Fame American Major League Baseball left fielder known for his powerful hitting during the 1920s and 1930s.
  • 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.