Triple

T22235021
Position Surface form Disambiguated ID Type / Status
Subject Sebastian Elmaloglou E549569 entity
Predicate hasRelative P367 FINISHED
Object Peter Elmaloglou 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: Peter Elmaloglou | Statement: [Sebastian Elmaloglou, hasRelative, Peter Elmaloglou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Elmaloglou
Context triple: [Sebastian Elmaloglou, hasRelative, Peter Elmaloglou]
  • A. Peter Elmaloglou chosen
    Peter Elmaloglou is an Australian actor known for his work in television and film, and as a member of the Elmaloglou acting family.
  • B. George Roussos
    George Roussos is the father of Greek singer Artemios "Demis" Roussos.
  • C. Dino Stamatopoulos
    Dino Stamatopoulos is an American writer, producer, and actor best known for his work in television comedy and animation, including creating the dark stop-motion series Moral Orel and appearing as Star-Burns on Community.
  • D. Michael Trikilis
    Michael Trikilis was an American television and film producer best known for his work on Playboy-related projects and various feature films in the late 20th century.
  • E. Peter Mamakos
    Peter Mamakos was an American character actor known for his numerous supporting roles in mid-20th-century film and television, often portraying ethnic or villainous characters.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf6d74c8190a1d8d8fc24a06bd1 completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:38 p.m.