Triple
T20869442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | + (album) |
E513851
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Faser T Smith
Faser T Smith is a music producer known for his work on the album "+".
|
E1454812
|
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: Faser T Smith | Statement: [+ (album), producer, Faser T Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faser T Smith Context triple: [+ (album), producer, Faser T Smith]
-
A.
L. J. Smith
L. J. Smith is an American author best known for her young adult paranormal romance and horror series, including the books that inspired the television show The Vampire Diaries.
-
B.
Nancy Smith
Nancy Smith is a fictional character from the 1930 film "Min and Bill," which stars Marie Dressler and Wallace Beery.
-
C.
Markuann Smith
Markuann Smith is a television producer and actor best known for developing and executive producing the crime drama series "Godfather of Harlem."
-
D.
C. J. Smith
C. J. Smith was a businessman best known as the founder of the former American savings and loan association Washington Mutual.
-
E.
Jennifer Ferrin
Jennifer Ferrin is an American actress best known for her work in television dramas and series such as "The Cape" and "As the World Turns."
- 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: Faser T Smith Triple: [+ (album), producer, Faser T Smith]
Generated description
Faser T Smith is a music producer known for his work on the album "+".
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faser T Smith Target entity description: Faser T Smith is a music producer known for his work on the album "+".
-
A.
L. J. Smith
L. J. Smith is an American author best known for her young adult paranormal romance and horror series, including the books that inspired the television show The Vampire Diaries.
-
B.
Nancy Smith
Nancy Smith is a fictional character from the 1930 film "Min and Bill," which stars Marie Dressler and Wallace Beery.
-
C.
Markuann Smith
Markuann Smith is a television producer and actor best known for developing and executive producing the crime drama series "Godfather of Harlem."
-
D.
C. J. Smith
C. J. Smith was a businessman best known as the founder of the former American savings and loan association Washington Mutual.
-
E.
Jennifer Ferrin
Jennifer Ferrin is an American actress best known for her work in television dramas and series such as "The Cape" and "As the World Turns."
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c4624ce48190b85e5bb24cf0a305 |
completed | April 21, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09139a9ef081909585c53823e12ca4 |
completed | May 17, 2026, 1:02 a.m. |
| NEDg | Description generation | batch_6a09144734b0819090901b8e6590222f |
completed | May 17, 2026, 1:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0914a0fb4c8190be5d504ff65dfe32 |
completed | May 17, 2026, 1:06 a.m. |
Created at: April 16, 2026, 12:45 p.m.