Triple
T13221960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deadbeat |
E314776
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ray Wise |
E395314
|
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: Ray Wise | Statement: [Deadbeat, starring, Ray Wise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Wise Context triple: [Deadbeat, starring, Ray Wise]
-
A.
Ray Wise
chosen
Ray Wise is an American character actor known for his versatile roles in film and television, including memorable performances in "Twin Peaks," "RoboCop," and numerous other genre and dramatic works.
-
B.
Leo Willis
Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
-
C.
Jon Hensley
Jon Hensley is an American actor best known for his long-running role as Holden Snyder on the soap opera "As the World Turns."
-
D.
Jeffery Wood
Jeffery Wood is an American actor best known for his role on the television sitcom "In the House."
-
E.
Brian David Willis
Brian David Willis is a musician best known as a member of the American rock band Quarterflash.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73973248481909ed29ea68955f447 |
completed | May 3, 2026, 12:02 p.m. |
Created at: April 9, 2026, 9:18 p.m.