Triple

T5166186
Position Surface form Disambiguated ID Type / Status
Subject Bela Lugosi E116562 entity
Predicate child P120 FINISHED
Object Bela G. Lugosi E423988 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: Bela G. Lugosi | Statement: [Bela Lugosi, child, Bela G. Lugosi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bela G. Lugosi
Context triple: [Bela Lugosi, child, Bela G. Lugosi]
  • A. Bela Lugosi
    Bela Lugosi was a Hungarian-American actor best known for his iconic portrayal of Count Dracula in early horror cinema.
  • B. Bela Lugosi Jr. chosen
    Bela Lugosi Jr. is an American attorney and the son of legendary horror film actor Bela Lugosi, known for his legal work related to his father's legacy and likeness rights.
  • C. Cesar Romero
    Cesar Romero was an American actor and dancer best known for his suave supporting roles in classic Hollywood films and for portraying the Joker in the 1960s Batman television series.
  • D. Lionel Atwill
    Lionel Atwill was an English-American character actor best known for his sinister roles in 1930s and 1940s horror and mystery films.
  • E. Boris Karloff
    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."
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd792c5ea88190b6aa0e519c744155 completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7f3f7588190b1a09b408248d18b completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:44 p.m.