Triple
T12374217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perfect Couples |
E295080
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Kyle Bornheimer |
E338455
|
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: Kyle Bornheimer | Statement: [Perfect Couples, stars, Kyle Bornheimer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyle Bornheimer Context triple: [Perfect Couples, stars, Kyle Bornheimer]
-
A.
Kyle Bornheimer
chosen
Kyle Bornheimer is an American actor and comedian known for his roles in television sitcoms and films, as well as voice work in animated features.
-
B.
Charles Bornstein
Charles Bornstein is a film editor best known for his work on genre films such as John Carpenter’s horror movie "The Fog."
-
C.
Scott Einbinder
Scott Einbinder is a film producer best known for his work on the dark crime thriller "Killer Joe."
-
D.
Nathan Birnbaum
Nathan Birnbaum was the birth name of George Burns, the famed American comedian, actor, and vaudevillian entertainer known for his long career in radio, film, and television.
-
E.
Andrew Braunsberg
Andrew Braunsberg is a film producer best known for his work on the acclaimed 1979 satirical comedy-drama "Being There."
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa8ca7c8190b3f8e9c2ec23e837 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5e627b4819084c830f4a46a8cda |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 8, 2026, 9:54 p.m.