Triple
T21536487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She's Out of My League |
E531362
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Kyle Bornheimer |
—
|
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: Kyle Bornheimer | Statement: [She's Out of My League, castMember, Kyle Bornheimer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyle Bornheimer Context triple: [She's Out of My League, castMember, 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.
Alex Blatt
Alex Blatt is a film editor best known for editing the critically acclaimed drama "The Hate U Give."
-
E.
Martin Brinkler
Martin Brinkler is a film editor known for his work on the shark thriller "47 Meters Down: Uncaged."
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0e5a9c8190894ec3666d3296aa |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.