Triple
T14071027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Dillon |
E338607
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kevin Dillon |
E338607
|
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: Kevin Dillon | Statement: [Kevin Dillon, name, Kevin Dillon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Dillon Context triple: [Kevin Dillon, name, Kevin Dillon]
-
A.
Kevin Dillon
chosen
Kevin Dillon is an American actor best known for his roles in films like "Platoon" and as Johnny "Drama" Chase on the television series "Entourage."
-
B.
Tim Healy
Tim Healy is an English actor best known for his comedic and dramatic television roles, particularly in popular British series.
-
C.
Tim Healy
Tim Healy was an Irish nationalist politician, lawyer, and writer who became the first Governor-General of the Irish Free State.
-
D.
Jonathan Doyle
Jonathan Doyle is a musician best known as a member of the London-based reggae and ska-influenced band The Skints.
-
E.
Michael Cerveris
Michael Cerveris is a Tony Award–winning American actor and singer known for his work on Broadway and in film and television.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5aa828819098ef55a70a0decbc |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7dc62b081909f3c9259295064cf |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:21 p.m.