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.