Triple

T20343373
Position Surface form Disambiguated ID Type / Status
Subject The Magic Flame E495798 entity
Predicate hasCastMember P2308 FINISHED
Object John St. Polis 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: John St. Polis | Statement: [The Magic Flame, hasCastMember, John St. Polis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John St. Polis
Context triple: [The Magic Flame, hasCastMember, John St. Polis]
  • A. John St. Polis chosen
    John St. Polis was an American stage and film actor active in the early 20th century, known for his character roles during the silent and early sound eras.
  • B. Jonathan Corwin
    Jonathan Corwin was a 17th-century Massachusetts magistrate best known as one of the judges who presided over the Salem witch trials.
  • C. Joel Polis
    Joel Polis is an American actor best known for his role as Fuchs in John Carpenter’s 1982 science fiction horror film "The Thing."
  • D. Tom Pollock
    Tom Pollock was a prominent American film executive and producer, best known for his leadership at Universal Pictures and his involvement in numerous major Hollywood films.
  • E. Jesse White
    Jesse White was an American character actor best known for his comedic roles in film and television, including his long-running portrayal of the Maytag repairman in commercials.
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67836b72081908be65115abdb37bf completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.