Triple

T22981446
Position Surface form Disambiguated ID Type / Status
Subject Hollywoodland E571474 entity
Predicate characterBasedOn P2004 FINISHED
Object George Reeves 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: George Reeves | Statement: [Hollywoodland, characterBasedOn, George Reeves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Reeves
Context triple: [Hollywoodland, characterBasedOn, George Reeves]
  • A. George Reeves chosen
    George Reeves was an American actor best known for portraying Superman/Clark Kent in the 1950s television series "Adventures of Superman."
  • B. George R. Reeves
    George R. Reeves was a 19th-century Texas politician and Confederate officer who served as Speaker of the Texas House of Representatives and for whom Reeves County, Texas, is named.
  • C. George Montgomery
    George Montgomery was an American film and television actor best known for his roles in Westerns and adventure movies from the 1940s through the 1960s.
  • D. Robert Young
    Robert Young was a Scottish musician best known as the longtime guitarist and multi-instrumentalist for the alternative rock band Primal Scream.
  • E. Robert Young
    Robert Young is an entrepreneur and author best known as a co-founder of Red Hat, a pioneering company in the open-source software industry.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1829589548190863619aebcae026c completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.