Triple
T23181650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roland Winters |
E579475
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Roland Winters |
—
|
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: Roland Winters | Statement: [Roland Winters, name, Roland Winters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roland Winters Context triple: [Roland Winters, name, Roland Winters]
-
A.
Roland Winters
chosen
Roland Winters was an American character actor best known for playing detective Charlie Chan in a series of late-1940s films and for numerous supporting roles in mid-20th-century cinema.
-
B.
Roland Wolf
Roland Wolf is a writer best known for his work on the play "The Mercy Seat."
-
C.
Roland Thomin
Roland Thomin is an actor known for his role in the film "The Measure of a Man."
-
D.
Roland West
Roland West was an American film director of the silent and early sound era, best known for his atmospheric crime dramas and for his association with the 1932 murder scandal involving actress Thelma Todd.
-
E.
Henry Winterstern
Henry Winterstern is a film producer known for his work on movies such as "Smiley Face."
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f6f770c81908622085693e37123 |
completed | April 29, 2026, 4:56 a.m. |
Created at: April 17, 2026, 4:05 p.m.