Triple

T14821786
Position Surface form Disambiguated ID Type / Status
Subject Lancel Lannister (TV adaptation) E348468 entity
Predicate portrayedBy P1507 FINISHED
Object Eugene Simon
Eugene Simon is a British actor best known for his role as Lancel Lannister in the television series "Game of Thrones."
E1123407 NE FINISHED

How this triple was built (4 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: Eugene Simon | Statement: [Lancel Lannister (TV adaptation), portrayedBy, Eugene Simon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eugene Simon
Context triple: [Lancel Lannister (TV adaptation), portrayedBy, Eugene Simon]
  • A. Eugene Isaac
    Eugene Isaac is the son of Guatemalan-American actor Oscar Isaac.
  • B. Eugene Maurice
    Eugene Maurice was a 17th-century French nobleman and military commander who held the title of Count of Soissons.
  • C. Thomas Yatsko
    Thomas Yatsko is an American cinematographer and television director known for his work on various films and TV series, including the thriller "The Call" (2013).
  • D. Victor Grinich
    Victor Grinich was an American electrical engineer and entrepreneur best known as one of the Traitorous Eight who co-founded Fairchild Semiconductor, helping launch Silicon Valley’s semiconductor industry.
  • E. Eugene Miller
    Eugene Miller was a screenwriter best known for his work on classic Hollywood films such as "The Mark of Zorro."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eugene Simon
Triple: [Lancel Lannister (TV adaptation), portrayedBy, Eugene Simon]
Generated description
Eugene Simon is a British actor best known for his role as Lancel Lannister in the television series "Game of Thrones."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eugene Simon
Target entity description: Eugene Simon is a British actor best known for his role as Lancel Lannister in the television series "Game of Thrones."
  • A. Eugene Isaac
    Eugene Isaac is the son of Guatemalan-American actor Oscar Isaac.
  • B. Eugene Maurice
    Eugene Maurice was a 17th-century French nobleman and military commander who held the title of Count of Soissons.
  • C. Thomas Yatsko
    Thomas Yatsko is an American cinematographer and television director known for his work on various films and TV series, including the thriller "The Call" (2013).
  • D. Victor Grinich
    Victor Grinich was an American electrical engineer and entrepreneur best known as one of the Traitorous Eight who co-founded Fairchild Semiconductor, helping launch Silicon Valley’s semiconductor industry.
  • E. Eugene Miller
    Eugene Miller was a screenwriter best known for his work on classic Hollywood films such as "The Mark of Zorro."
  • F. None of above. chosen

Provenance (5 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe64328819083ce42704cf0602d completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64fab7bc8190af55cc6ec5eafb65 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe65ac6a5c81908621dc17edc6b04f completed May 8, 2026, 10:37 p.m.
NED2 Entity disambiguation (via description) batch_69fe6697fe3881908aae42abe56d86f8 completed May 8, 2026, 10:41 p.m.
Created at: April 10, 2026, 1:51 a.m.