Triple
T15103870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Police Academy 3: Back in Training |
E360736
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Art Metrano |
E1001299
|
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: Art Metrano | Statement: [Police Academy 3: Back in Training, stars, Art Metrano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Art Metrano Context triple: [Police Academy 3: Back in Training, stars, Art Metrano]
-
A.
Art Metrano
chosen
Art Metrano was an American actor and comedian best known for his role as the bumbling police captain Ernie Mauser in the "Police Academy" film series.
-
B.
Ed Calle
Ed Calle is a Venezuelan-born saxophonist, composer, and educator known for his work in Latin jazz and as a prolific session musician.
-
C.
Santo Loquasto
Santo Loquasto is an acclaimed American production, set, and costume designer best known for his extensive work on Broadway and in films, including frequent collaborations with director Woody Allen.
-
D.
Frank Cardea
Frank Cardea is an American television writer and producer best known for his long-running work on the crime drama series "NCIS."
-
E.
Michael Cerda
Michael Cerda is a media and technology executive and producer known for his work in digital entertainment and content development.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00551521c8190b48d1a074bb4bdfc |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae274f6881908931569efc09996e |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:05 a.m.