Triple

T9471132
Position Surface form Disambiguated ID Type / Status
Subject Evan Hansen E228391 entity
Predicate portrayedBy P1507 FINISHED
Object Sam Tutty
Sam Tutty is a British actor best known for his Olivier Award-winning performance in the title role of the West End production of the musical "Dear Evan Hansen."
 E800205 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: Sam Tutty | Statement: [Evan Hansen, portrayedBy, Sam Tutty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sam Tutty
Context triple: [Evan Hansen, portrayedBy, Sam Tutty]
  • A. Bert Tucker
    Bert Tucker was the son of famed American vaudeville and jazz singer Sophie Tucker.
  • B. Terry Tumey
    Terry Tumey is an American college athletics administrator and former UCLA football player and NFL defensive lineman who serves as the athletic director at Fresno State.
  • C. Guy Tawney
    Guy Tawney is a person notable enough to be recognized as a bearer of the surname Tawney.
  • D. Glen Tullman
    Glen Tullman is an American healthcare technology entrepreneur and executive best known for leading and building major digital health companies, including Allscripts.
  • E. Johnny Whitaker
    Johnny Whitaker is an American former child actor best known for his roles in the TV series "Family Affair" and films such as "Tom Sawyer" (1973) and "The Biscuit Eater."
  • 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: Sam Tutty
Triple: [Evan Hansen, portrayedBy, Sam Tutty]
Generated description
Sam Tutty is a British actor best known for his Olivier Award-winning performance in the title role of the West End production of the musical "Dear Evan Hansen."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sam Tutty
Target entity description: Sam Tutty is a British actor best known for his Olivier Award-winning performance in the title role of the West End production of the musical "Dear Evan Hansen."
  • A. Bert Tucker
    Bert Tucker was the son of famed American vaudeville and jazz singer Sophie Tucker.
  • B. Terry Tumey
    Terry Tumey is an American college athletics administrator and former UCLA football player and NFL defensive lineman who serves as the athletic director at Fresno State.
  • C. Guy Tawney
    Guy Tawney is a person notable enough to be recognized as a bearer of the surname Tawney.
  • D. Glen Tullman
    Glen Tullman is an American healthcare technology entrepreneur and executive best known for leading and building major digital health companies, including Allscripts.
  • E. Johnny Whitaker
    Johnny Whitaker is an American former child actor best known for his roles in the TV series "Family Affair" and films such as "Tom Sawyer" (1973) and "The Biscuit Eater."
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fee13a88190b4532fb92ddaf401 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122cd0728819088f6c832cd90d832 completed April 4, 2026, 2:40 p.m.
NEDg Description generation batch_69d12350baa08190b08f619391acbd75 completed April 4, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_69d123af901c819098bb1401846f0daf completed April 4, 2026, 2:43 p.m.
Created at: March 30, 2026, 7:54 p.m.