Triple
T13831012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van Wilder |
E332397
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Andrew Panay |
E401243
|
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: Andrew Panay | Statement: [Van Wilder, producer, Andrew Panay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Panay Context triple: [Van Wilder, producer, Andrew Panay]
-
A.
Andrew Panay
chosen
Andrew Panay is a film producer best known for his work on hit comedies such as "Wedding Crashers."
-
B.
Nick Patsaouras
Nick Patsaouras is a Greek-American engineer and public transportation advocate known for his influential role in shaping transit policy and infrastructure in Los Angeles.
-
C.
Jason Mantzoukas
Jason Mantzoukas is an American actor, comedian, and podcaster known for his energetic, offbeat roles in film and television, including standout performances in projects like "The League," "Brooklyn Nine-Nine," and various comedy podcasts.
-
D.
Steve Nicolaides
Steve Nicolaides is an American film producer known for his work on notable movies such as "Boyz n the Hood" and other influential 1990s films.
-
E.
Peter Mamakos
Peter Mamakos was an American character actor known for his numerous supporting roles in mid-20th-century film and television, often portraying ethnic or villainous characters.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0299334481908c2b271eaf06e4b7 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8ebf2608190b1071ee6967fa8d3 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:13 p.m.