Triple
T13334540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sterling K. Brown |
E317654
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ryan Michelle Bathe |
E735109
|
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: Ryan Michelle Bathe | Statement: [Sterling K. Brown, spouse, Ryan Michelle Bathe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Michelle Bathe Context triple: [Sterling K. Brown, spouse, Ryan Michelle Bathe]
-
A.
Ryan Michelle Bathe
chosen
Ryan Michelle Bathe is an American actress known for her work in television and film, including prominent roles in series like "This Is Us" and various feature films.
-
B.
Tracy Benchley
Tracy Benchley is a child of American author and screenwriter Peter Benchley, best known for writing the novel "Jaws."
-
C.
Dana DeMuth
Dana DeMuth is a longtime Major League Baseball umpire who has officiated numerous postseason games, including multiple World Series.
-
D.
Beth Garrabrant
Beth Garrabrant is a photographer and visual artist best known for creating album and single cover imagery for Taylor Swift, including the artwork for "Midnights."
-
E.
Heather Matarazzo
Heather Matarazzo is an American actress best known for her character roles in films like "Welcome to the Dollhouse" and "The Princess Diaries."
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cff44e08190b9583baf0b626e42 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f39f298819088d79cda3ac2b375 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:30 p.m.