Triple

T9996840
Position Surface form Disambiguated ID Type / Status
Subject Alan Tudyk E197222 entity
Predicate familyName P18 FINISHED
Object Tudyk
Tudyk is the surname of Alan Tudyk, an American actor known for his roles in films like "Rogue One" and the series "Firefly."
E834617 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: Tudyk | Statement: [Alan Tudyk, familyName, Tudyk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tudyk
Context triple: [Alan Tudyk, familyName, Tudyk]
  • A. Kevin Sussman
    Kevin Sussman is an American actor and comedian best known for his role as Stuart Bloom on the television series "The Big Bang Theory."
  • B. Kloves
    Kloves is the surname of American screenwriter and film director Steve Kloves, best known for adapting most of the Harry Potter novels for the screen.
  • C. Michael Ian Schwartz
    Michael Ian Schwartz, better known as Michael Ian Black, is an American comedian, actor, writer, and director recognized for his work on shows like "The State" and "Stella."
  • D. Michael Kalesniko
    Michael Kalesniko is a Canadian screenwriter and film director known for his darkly comedic and character-driven work in independent cinema.
  • E. John Hannah
    John Hannah is a Scottish actor best known for his roles in films such as "Four Weddings and a Funeral" and "The Mummy" series, as well as numerous British television dramas.
  • 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: Tudyk
Triple: [Alan Tudyk, familyName, Tudyk]
Generated description
Tudyk is the surname of Alan Tudyk, an American actor known for his roles in films like "Rogue One" and the series "Firefly."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tudyk
Target entity description: Tudyk is the surname of Alan Tudyk, an American actor known for his roles in films like "Rogue One" and the series "Firefly."
  • A. Kevin Sussman
    Kevin Sussman is an American actor and comedian best known for his role as Stuart Bloom on the television series "The Big Bang Theory."
  • B. Kloves
    Kloves is the surname of American screenwriter and film director Steve Kloves, best known for adapting most of the Harry Potter novels for the screen.
  • C. Michael Ian Schwartz
    Michael Ian Schwartz, better known as Michael Ian Black, is an American comedian, actor, writer, and director recognized for his work on shows like "The State" and "Stella."
  • D. Michael Kalesniko
    Michael Kalesniko is a Canadian screenwriter and film director known for his darkly comedic and character-driven work in independent cinema.
  • E. Kirby Reed
    Kirby Reed is a sharp-witted, horror-savvy teenager and fan-favorite character from the Scream film franchise.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb9af6a88190942cc4991bd373c1 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2583bd6948190b15a97187e81d958 completed April 5, 2026, 12:40 p.m.
NEDg Description generation batch_69d2594b5e5081908f7cc4af4d10b4a8 completed April 5, 2026, 12:44 p.m.
NED2 Entity disambiguation (via description) batch_69d25a30ad98819084dcd305e709c34d completed April 5, 2026, 12:48 p.m.
Created at: March 30, 2026, 8:51 p.m.