Triple
T23032790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Richard |
E573508
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Tony Goldwyn |
—
|
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: Tony Goldwyn | Statement: [King Richard, stars, Tony Goldwyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Goldwyn Context triple: [King Richard, stars, Tony Goldwyn]
-
A.
Tony Goldwyn
chosen
Tony Goldwyn is an American actor, director, and producer best known for his roles in films like "Ghost" and the TV series "Scandal."
-
B.
Jonathan Goldsmith
Jonathan Goldsmith is an American actor best known for playing the charismatic, bearded spokesman in Dos Equis beer commercials as “The Most Interesting Man in the World.”
-
C.
Jonathan Goldsmith
Jonathan Goldsmith is a Canadian composer best known for his film and television scores.
-
D.
Samuel Goldwyn Jr.
Samuel Goldwyn Jr. was an American film producer and son of legendary mogul Samuel Goldwyn, known for championing independent and quality cinema through films like "The Preacher's Wife" and for founding The Samuel Goldwyn Company.
-
E.
Bo Goldmann
Bo Goldmann is a screenwriter best known for his work on the comedy film "Armed and Dangerous."
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18482e78c8190a89681eec2edb812 |
completed | April 29, 2026, 4:09 a.m. |
Created at: April 17, 2026, 3:53 p.m.