Triple
T19305284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bryan Greenberg |
E482809
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object | Jamie Chung |
—
|
NE NERFINISHED |
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: Jamie Chung | Statement: [Bryan Greenberg, hasSpouse, Jamie Chung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamie Chung Context triple: [Bryan Greenberg, hasSpouse, Jamie Chung]
-
A.
Jamie Chung
chosen
Jamie Chung is an American actress and former reality television personality known for roles in films like "Sucker Punch," "The Hangover Part II," and the TV series "Once Upon a Time."
-
B.
Cherie Chung
Cherie Chung is a retired Hong Kong actress and former leading lady of 1980s Cantonese cinema, celebrated for both her beauty and her roles in classic comedies and dramas.
-
C.
Christopher Chung
Christopher Chung is an actor known for his role in the British spy drama series "Slow Horses."
-
D.
Cheryl Song
Cheryl Song is an American dancer and actress best known as a featured Soul Train dancer who also appeared in the 1988 action film "Action Jackson."
-
E.
Caroline Chung
Caroline Chung is the central protagonist of the television series "My Generation," around whom the show's narrative and character relationships revolve.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604c744908190975c71a28acc96cc |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 10, 2026, 1:31 p.m.