Triple
T16913231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Wettig |
E410253
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ken Olin |
E318337
|
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: Ken Olin | Statement: [Patricia Wettig, spouse, Ken Olin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Olin Context triple: [Patricia Wettig, spouse, Ken Olin]
-
A.
Ken Olin
chosen
Ken Olin is an American actor, director, and television producer best known for his work on series such as "Thirtysomething" and "This Is Us."
-
B.
Eric Erlandson
Eric Erlandson is an American guitarist and songwriter best known as the lead guitarist and co-founder of the alternative rock band Hole.
-
C.
Eric Bauza
Eric Bauza is a Canadian voice actor and comedian best known for portraying iconic animated characters in modern Looney Tunes productions.
-
D.
Joel Fry
Joel Fry is a British actor and musician known for his roles in film and television, including appearances in projects like "Game of Thrones," "Cruella," and various UK comedies.
-
E.
E. Alyn Warren
E. Alyn Warren was an American character actor of the early 20th century, known for his frequent portrayals of Asian characters in Hollywood films.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3e6b9481909fbaeb0bddd7e3b2 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7be679c8190b9d0b0b9cfe185d3 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.