Triple
T3047428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All I Wanna Do |
E83482
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Wyn Cooper
Wyn Cooper is an American poet and songwriter whose poem inspired the lyrics to Sheryl Crow’s hit song “All I Wanna Do.”
|
E322994
|
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: Wyn Cooper | Statement: [All I Wanna Do, writer, Wyn Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wyn Cooper Context triple: [All I Wanna Do, writer, Wyn Cooper]
-
A.
Cator Woolford
Cator Woolford was an American businessman and entrepreneur best known as a co-founder of the credit reporting company that became Equifax.
-
B.
Gwyn Conger
Gwyn Conger was an American singer best known as the second wife of novelist John Steinbeck and the mother of two of his sons.
-
C.
Brian Wright
Brian Wright is an NBA executive best known as the general manager responsible for overseeing basketball operations and roster decisions for the San Antonio Spurs.
-
D.
Alan Cox
Alan Cox is a prominent British software engineer best known for his extensive work on the Linux kernel and long-standing contributions to the free software movement.
-
E.
Andrew Wyke
Andrew Wyke is a wealthy, manipulative crime novelist whose elaborate mind games drive the psychological thriller at the heart of the film "Sleuth" (1972).
- 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: Wyn Cooper Triple: [All I Wanna Do, writer, Wyn Cooper]
Generated description
Wyn Cooper is an American poet and songwriter whose poem inspired the lyrics to Sheryl Crow’s hit song “All I Wanna Do.”
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wyn Cooper Target entity description: Wyn Cooper is an American poet and songwriter whose poem inspired the lyrics to Sheryl Crow’s hit song “All I Wanna Do.”
-
A.
Cator Woolford
Cator Woolford was an American businessman and entrepreneur best known as a co-founder of the credit reporting company that became Equifax.
-
B.
Gwyn Conger
Gwyn Conger was an American singer best known as the second wife of novelist John Steinbeck and the mother of two of his sons.
-
C.
Brian Wright
Brian Wright is an NBA executive best known as the general manager responsible for overseeing basketball operations and roster decisions for the San Antonio Spurs.
-
D.
Philip Pugh
Philip Pugh is a notable individual distinguished enough to be specifically recognized as a bearer of the surname Pugh.
-
E.
Alan Cox
Alan Cox is a prominent British software engineer best known for his extensive work on the Linux kernel and long-standing contributions to the free software movement.
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9bad11b48190a5bd01e91a320e14 |
completed | March 8, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eef7d1e081908535b7d972a147eb |
completed | March 11, 2026, 10:38 p.m. |
| NEDg | Description generation | batch_69b1f0ad56dc81909c96018e34345fda |
completed | March 11, 2026, 10:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f13a34c88190aa829d8d87a5d29b |
completed | March 11, 2026, 10:48 p.m. |
Created at: March 8, 2026, 3:01 p.m.