Triple

T14807228
Position Surface form Disambiguated ID Type / Status
Subject Two Lovers E348068 entity
Predicate castMember P1668 FINISHED
Object Elias Koteas E240289 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: Elias Koteas | Statement: [Two Lovers, castMember, Elias Koteas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elias Koteas
Context triple: [Two Lovers, castMember, Elias Koteas]
  • A. Elias Koteas chosen
    Elias Koteas is a Canadian actor known for his versatile character roles in film and television, including notable performances in movies like "The Curious Case of Benjamin Button" and the "Teenage Mutant Ninja Turtles" series.
  • B. Mitchell Henry
    Mitchell Henry was a 19th-century British politician, businessman, and newspaper proprietor who played a key role in the early development of regional journalism in Manchester.
  • C. George Marino
    George Marino was a renowned American mastering engineer known for his work on numerous classic rock and metal albums over several decades.
  • D. Ian George
    Ian George is an Australian Anglican bishop who served as the Archbishop of Adelaide, leading the Anglican Church in South Australia.
  • E. William Fichtner
    William Fichtner is an American character actor known for his intense, often villainous or morally complex roles in films such as "Heat," "Armageddon," and "Black Hawk Down," as well as the TV series "Prison Break."
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf33b6a08190ab6a4cfeda2cc09c completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b47389c8190ab0a46e3b4653a2a completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:41 a.m.