Triple
T8424409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirty Dancing |
E198940
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Patrick Swayze |
E302604
|
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: Patrick Swayze | Statement: [Dirty Dancing, leadActor, Patrick Swayze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick Swayze Context triple: [Dirty Dancing, leadActor, Patrick Swayze]
-
A.
Patrick Swayze
chosen
Patrick Swayze was an American actor and dancer best known for his charismatic leading roles in hit films such as "Dirty Dancing" and "Ghost."
-
B.
John Travolta
John Travolta is an American actor, singer, and producer known for iconic roles in films such as "Saturday Night Fever," "Grease," and "Pulp Fiction."
-
C.
Ryan O'Neal
Ryan O'Neal is an American actor best known for his leading roles in films such as "Love Story," "Paper Moon," and "Barry Lyndon."
-
D.
Kevin Judd
Kevin Judd is a musician best known as a member of the American rock band Ultra Q.
-
E.
Val Kilmer
Val Kilmer is an American actor known for his versatile performances in films such as "Top Gun," "The Doors," and "Batman Forever."
- 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb85a0d04481908a5da908cafeceaa |
completed | March 31, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce035aac4c81909066c1ca1318d006 |
completed | April 2, 2026, 5:49 a.m. |
Created at: March 30, 2026, 6:07 p.m.