Triple
T2125342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashton Kutcher |
E46411
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ashton Kutcher |
E46411
|
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: Ashton Kutcher | Statement: [Ashton Kutcher, name, Ashton Kutcher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashton Kutcher Context triple: [Ashton Kutcher, name, Ashton Kutcher]
-
A.
Ashton Kutcher
chosen
Ashton Kutcher is an American actor, producer, and entrepreneur known for his roles in television sitcoms like "That '70s Show" and "Two and a Half Men," as well as his work in film and tech investing.
-
B.
Will Arnett
Will Arnett is a Canadian-American actor and comedian best known for his deep-voiced comedic roles in television series like "Arrested Development" and in animated films.
-
C.
Jason Biggs
Jason Biggs is an American actor best known for his comedic role as Jim Levenstein in the "American Pie" film series.
-
D.
Kevin James
Kevin James is an American actor and comedian best known for starring in the sitcom "The King of Queens" and films such as "Paul Blart: Mall Cop."
-
E.
Brad Fuller
Brad Fuller is a film editor known for his work on the documentary "He Named Me Malala."
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb57bc6881909f04a407beff33a6 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae519ead088190a8a7229d998732de |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:44 p.m.