Triple

T21106423
Position Surface form Disambiguated ID Type / Status
Subject Robert Day E520055 entity
Predicate hasWorkedWith P9615 FINISHED
Object Boris Karloff 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: Boris Karloff | Statement: [Robert Day, hasWorkedWith, Boris Karloff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boris Karloff
Context triple: [Robert Day, hasWorkedWith, Boris Karloff]
  • A. Boris Karloff chosen
    Boris Karloff was an English actor best known for his iconic portrayals in classic horror films, particularly as Frankenstein's monster in the 1931 film "Frankenstein."
  • B. Bela Lugosi
    Bela Lugosi was a Hungarian-American actor best known for his iconic portrayal of Count Dracula in early horror cinema.
  • C. Bela Lugosi and Boris Karloff
    Bela Lugosi and Boris Karloff were iconic early 20th-century horror film actors best known for their definitive portrayals of Dracula and Frankenstein’s monster, respectively.
  • D. Chris Karloff
    Chris Karloff is an English musician and songwriter best known as a founding guitarist and key early songwriter of the rock band Kasabian.
  • E. Vincent Price
    Vincent Price was an American actor renowned for his distinctive voice and charismatic presence, particularly in classic horror films and gothic dramas.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b62301c819082cfc6cb3cd11c8c completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:53 p.m.