Triple
T12364118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everybody Loves Raymond |
E294816
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Stu Smiley
Stu Smiley is a television producer best known for his executive role on the hit sitcom "Everybody Loves Raymond."
|
E978594
|
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: Stu Smiley | Statement: [Everybody Loves Raymond, executiveProducer, Stu Smiley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stu Smiley Context triple: [Everybody Loves Raymond, executiveProducer, Stu Smiley]
-
A.
Michael Smiley
Michael Smiley is a Northern Irish actor and comedian known for his character roles in British television and film, including notable appearances in series like Luther and Black Books.
-
B.
Stu Kimball
Stu Kimball is an American guitarist best known for his long tenure in Bob Dylan’s touring band during the 2000s and 2010s.
-
C.
Stu Redman
Stu Redman is a central protagonist in Stephen King’s post-apocalyptic novel "The Stand," known as a quiet, resilient Texan who emerges as a natural leader among the plague’s survivors.
-
D.
Hank Stuever
Hank Stuever is an American journalist and author best known as a television critic and feature writer for The Washington Post.
-
E.
Jerry Smith
Jerry Smith is an American soccer coach best known for his long tenure leading the Santa Clara University women's soccer program.
- 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: Stu Smiley Triple: [Everybody Loves Raymond, executiveProducer, Stu Smiley]
Generated description
Stu Smiley is a television producer best known for his executive role on the hit sitcom "Everybody Loves Raymond."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stu Smiley Target entity description: Stu Smiley is a television producer best known for his executive role on the hit sitcom "Everybody Loves Raymond."
-
A.
Michael Smiley
Michael Smiley is a Northern Irish actor and comedian known for his character roles in British television and film, including notable appearances in series like Luther and Black Books.
-
B.
Stu Kimball
Stu Kimball is an American guitarist best known for his long tenure in Bob Dylan’s touring band during the 2000s and 2010s.
-
C.
Stu Redman
Stu Redman is a central protagonist in Stephen King’s post-apocalyptic novel "The Stand," known as a quiet, resilient Texan who emerges as a natural leader among the plague’s survivors.
-
D.
Hank Stuever
Hank Stuever is an American journalist and author best known as a television critic and feature writer for The Washington Post.
-
E.
Jerry Smith
Jerry Smith is an American soccer coach best known for his long tenure leading the Santa Clara University women's soccer program.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa3f958819080555bcae9958a53 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62abbaaec8190b388d9dff999da8d |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c569a6c8190aecf8a4c627d8893 |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d13237881908b7c2dca173e20cf |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:54 p.m.