Triple

T21164427
Position Surface form Disambiguated ID Type / Status
Subject Pam Ferris E521520 entity
Predicate spouse P13 FINISHED
Object Roger Frost 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: Roger Frost | Statement: [Pam Ferris, spouse, Roger Frost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger Frost
Context triple: [Pam Ferris, spouse, Roger Frost]
  • A. Ralph Frost
    Ralph Frost is an individual notable enough to be recognized as a bearer of the surname Frost.
  • B. Terry Frost
    Terry Frost was a British abstract artist renowned for his vibrant, geometric paintings and prints that became emblematic of post-war modernism in the UK.
  • C. Warren Frost chosen
    Warren Frost was an American actor best known for his roles in the television series "Twin Peaks" and various film and TV appearances.
  • D. Fred Rister
    Fred Rister was a French DJ and record producer best known for his frequent collaborations with David Guetta on international dance-pop hits.
  • E. Peter Funt
    Peter Funt is an American television personality and producer best known for hosting and continuing his father Allen Funt’s hidden-camera show "Candid Camera."
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7270e15bc81908d609198e573040e completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 2:59 p.m.