Triple
T10396609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tin Star |
E245036
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
R. Stephen Wiles
R. Stephen Wiles is an actor known for his role in the Western film "Tin Star."
|
E933008
|
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: R. Stephen Wiles | Statement: [Tin Star, starring, R. Stephen Wiles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R. Stephen Wiles Context triple: [Tin Star, starring, R. Stephen Wiles]
-
A.
Michael T. Williamson
Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
-
B.
Michael J. Weithorn
Michael J. Weithorn is an American television writer and producer best known for creating and working on several sitcoms, including "Ned and Stacey" and "The King of Queens."
-
C.
Stephen T. Wright
Stephen T. Wright is an architect best known for his work on major commercial skyscrapers such as Chicago’s Two Prudential Plaza.
-
D.
Gary J. Walters
Gary J. Walters is a former White House Chief Usher who oversaw the executive mansion’s household operations and logistics across multiple U.S. presidential administrations.
-
E.
David E. Talbert
David E. Talbert is an American playwright, author, and filmmaker known for his romantic comedies and stage-to-screen adaptations.
- 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: R. Stephen Wiles Triple: [Tin Star, starring, R. Stephen Wiles]
Generated description
R. Stephen Wiles is an actor known for his role in the Western film "Tin Star."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: R. Stephen Wiles Target entity description: R. Stephen Wiles is an actor known for his role in the Western film "Tin Star."
-
A.
Michael T. Williamson
Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
-
B.
Michael J. Weithorn
Michael J. Weithorn is an American television writer and producer best known for creating and working on several sitcoms, including "Ned and Stacey" and "The King of Queens."
-
C.
Stephen T. Wright
Stephen T. Wright is an architect best known for his work on major commercial skyscrapers such as Chicago’s Two Prudential Plaza.
-
D.
Gary J. Walters
Gary J. Walters is a former White House Chief Usher who oversaw the executive mansion’s household operations and logistics across multiple U.S. presidential administrations.
-
E.
David E. Talbert
David E. Talbert is an American playwright, author, and filmmaker known for his romantic comedies and stage-to-screen adaptations.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9cf79348190975d6c1791e3b621 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e6968aec8190a9d1e51ac7e87853 |
completed | April 21, 2026, 2:53 a.m. |
| NEDg | Description generation | batch_69e6ec59994c8190b1de0bec84324fa1 |
completed | April 21, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6f8ec88e88190bfa21c2d06d67bd8 |
completed | April 21, 2026, 4:11 a.m. |
Created at: April 6, 2026, 12:06 p.m.