Triple
T14455142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Wedding |
E358439
|
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 Wedding, mainCharacter, Kevin Myers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Myers Context triple: [American Wedding, 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.
Tim Myers
Tim Myers is an American musician, songwriter, and producer best known as a former bassist and founding member of the pop rock band OneRepublic.
-
E.
Grant Pierce Myers
Grant Pierce Myers is a screenwriter best known for co-writing the film adaptation of the dystopian young adult novel "The Maze Runner."
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a8bf088190abf5fd4f646b8c62 |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64e837dc8190b72d56d60ba386e8 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:19 a.m.