Triple

T20414520
Position Surface form Disambiguated ID Type / Status
Subject Hillside Memorial Park Cemetery E500672 entity
Predicate hasNotableBurial P196 FINISHED
Object Norman Fell 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: Norman Fell | Statement: [Hillside Memorial Park Cemetery, hasNotableBurial, Norman Fell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Fell
Context triple: [Hillside Memorial Park Cemetery, hasNotableBurial, Norman Fell]
  • A. Norman Fell chosen
    Norman Fell was an American character actor best known for his role as landlord Mr. Roper on the television sitcom "Three's Company."
  • B. Bernard Lee
    Bernard Lee was a British actor best known for playing M, James Bond’s boss, in the early James Bond films.
  • C. Nicholas Courtney
    Nicholas Courtney was a British actor best known for his long-running role as Brigadier Lethbridge-Stewart in the classic science fiction television series Doctor Who.
  • D. Robin Le Mesurier
    Robin Le Mesurier was a British rock and session guitarist best known for his long association with singer Rod Stewart and his work in various bands from the 1970s onward.
  • E. Roger Lloyd-Pack
    Roger Lloyd-Pack was an English actor best known for his comedic roles in British television, particularly as Trigger in "Only Fools and Horses."
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a4281048190a2b016ec16b7d203 completed April 20, 2026, 7:10 p.m.
Created at: April 16, 2026, 11:30 a.m.