Triple
T6156954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Pie 2 |
E137344
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Kevin Myers |
E565312
|
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: Kevin Myers | Statement: [American Pie 2, mainCharacter, Kevin Myers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Myers Context triple: [American Pie 2, mainCharacter, Kevin Myers]
-
A.
Kevin Myers
chosen
Kevin Myers is a central character in the American Pie film series, known as one of the core group of friends navigating relationships and adulthood.
-
B.
Kris Myers
Kris Myers is an American drummer best known for his long-time role as the percussionist for the progressive rock and jam band Umphrey's McGee.
-
C.
Eric Overmyer
Eric Overmyer is an American television writer and producer known for his work on acclaimed series such as The Wire, Treme, and Bosch.
-
D.
Michael Myerberg
Michael Myerberg was an American theatrical producer and manager best known for his influential work on mid-20th-century Broadway productions.
-
E.
Harry Myers
Harry Myers was an American actor and director best remembered for his role as the eccentric millionaire in Charlie Chaplin’s classic silent film "City Lights."
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d3177588190970a45af0d43b04c |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c518ee96c48190afe3f42477f38856 |
completed | March 26, 2026, 11:30 a.m. |
Created at: March 22, 2026, 4:17 p.m.