Triple

T14708057
Position Surface form Disambiguated ID Type / Status
Subject Loras Tyrell E345477 entity
Predicate portrayedBy P1507 FINISHED
Object Finn Jones E1093617 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: Finn Jones | Statement: [Loras Tyrell, portrayedBy, Finn Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Finn Jones
Context triple: [Loras Tyrell, portrayedBy, Finn Jones]
  • A. Finn Jones chosen
    Finn Jones is a British actor best known for playing Loras Tyrell in "Game of Thrones" and the title role of Danny Rand in Marvel's "Iron Fist."
  • B. Nicholas Hoult
    Nicholas Hoult is an English actor known for his versatile roles in films such as "About a Boy," the "X-Men" series, and "Mad Max: Fury Road," as well as the TV series "Skins" and "The Great."
  • C. Thomas Brodie-Sangster
    Thomas Brodie-Sangster is an English actor known for his roles in projects such as "Nanny McPhee," "The Maze Runner" series, and "Game of Thrones."
  • D. Jeremy Irvine
    Jeremy Irvine is an English actor best known for his breakout role in Steven Spielberg’s "War Horse" and subsequent performances in films such as "The Railway Man."
  • E. Fionn Whitehead
    Fionn Whitehead is a British actor best known for his breakout leading role in Christopher Nolan’s World War II film "Dunkirk."
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb609965081908f654bcb9eaaa145 completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8221a4819098937018f24a0b44 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:28 a.m.