Triple

T14253857
Position Surface form Disambiguated ID Type / Status
Subject The Three Doctors E353335 entity
Predicate featuresActor P15562 FINISHED
Object John Levene E1139656 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: John Levene | Statement: [The Three Doctors, featuresActor, John Levene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Levene
Context triple: [The Three Doctors, featuresActor, John Levene]
  • A. John Levene chosen
    John Levene is a British actor best known for playing UNIT soldier Sergeant Benton in the classic science fiction television series Doctor Who.
  • B. Philip Levene
    Philip Levene was a British television and film writer best known for his work on the 1960s spy series "The Avengers."
  • C. Sam Levene
    Sam Levene was a prominent American stage and film actor best known for his comic and character roles in mid-20th-century Broadway productions and Hollywood movies.
  • D. Sam Levine
    Sam Levine is an American animation director and storyboard artist known for co-directing the superhero comedy film "DC League of Super-Pets."
  • E. Gene Levitt
    Gene Levitt was an American television writer and producer best known for creating the popular 1970s–80s anthology series "Fantasy Island."
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6297f38c819090d7c7fd8bfa2e9e completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec86c6c6c8190957e398e3dcdd840 completed May 9, 2026, 5:38 a.m.
Created at: April 10, 2026, 1:09 a.m.