Triple

T15982149
Position Surface form Disambiguated ID Type / Status
Subject Affton, Missouri E387601 entity
Predicate hasNotableResident P1092 FINISHED
Object Ken Page E308167 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: Ken Page | Statement: [Affton, Missouri, hasNotableResident, Ken Page]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Page
Context triple: [Affton, Missouri, hasNotableResident, Ken Page]
  • A. Ken Page chosen
    Ken Page is an American actor and singer best known for voicing the character Oogie Boogie in the animated film "The Nightmare Before Christmas."
  • B. Neal Page
    Neal Page is the tightly wound, work-obsessed marketing executive portrayed by Steve Martin in the comedy film "Planes, Trains and Automobiles."
  • C. Greg Page
    Greg Page is an Australian musician and entertainer best known as the original yellow-clad lead singer of the children's music group The Wiggles.
  • D. Greg Page
    Greg Page was an American professional heavyweight boxer who briefly held the WBA world title in the 1980s.
  • E. Marty Page
    Marty Page is a fictional character known as the son of Neil Page in the 1987 comedy film "Planes, Trains and Automobiles."
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15755b5548190acfa29eecb11e675 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3cb0ed48190b35c19f3961f183b completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.