Triple
T13525004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fun |
E322994
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Wyn Cooper |
E322994
|
NE FINISHED |
How this triple was built (2 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: [Fun, author, Wyn Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wyn Cooper Context triple: [Fun, author, Wyn Cooper]
-
A.
Wyn Cooper
chosen
Wyn Cooper is an American poet and songwriter whose poem inspired the lyrics to Sheryl Crow’s hit song “All I Wanna Do.”
-
B.
Denys Coop
Denys Coop was a British cinematographer renowned for his innovative black-and-white photography and influential work on mid-20th-century British films.
-
C.
Bob Cooper
Bob Cooper is a film producer best known for his work on the romantic comedy "Last Holiday" and other mainstream Hollywood projects.
-
D.
Sam Cooper
Sam Cooper is a British builder and decorator best known for his former marriage to singer-songwriter Lily Allen.
-
E.
Andy Cooper
Andy Cooper was an American Negro league baseball pitcher and later manager, renowned for his standout career in the 1920s and 1930s and his eventual induction into the Baseball Hall of Fame.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa6ad60819087824e4ac83934ed |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d93a2608190a3a693bf4086a010 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.