Triple
T12700301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nip/Tuck |
E303441
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Dylan Walsh |
E576995
|
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: Dylan Walsh | Statement: [Nip/Tuck, leadActor, Dylan Walsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dylan Walsh Context triple: [Nip/Tuck, leadActor, Dylan Walsh]
-
A.
Dylan Walsh
chosen
Dylan Walsh is an American actor best known for his role as Dr. Sean McNamara on the television series "Nip/Tuck."
-
B.
Scott Oake
Scott Oake is a Canadian sportscaster best known for his long-running work as a rinkside reporter and host on national hockey broadcasts.
-
C.
Dustin Milligan
Dustin Milligan is a Canadian actor best known for his roles in the TV series 90210 and the comedy Schitt's Creek.
-
D.
Alexis Denisof
Alexis Denisof is an American actor best known for his role as Wesley Wyndam-Pryce in the television series "Buffy the Vampire Slayer" and its spin-off "Angel."
-
E.
Jason Danieley
Jason Danieley is an American musical theatre actor and singer known for his acclaimed performances on Broadway and in concert.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ef65ac8190aedf9ade3a68e24e |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b8a79488190aaf95d4f2e20a7bc |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:22 p.m.