Triple
T15103876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Police Academy 3: Back in Training |
E360736
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Bruce Mahler |
E1100629
|
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: Bruce Mahler | Statement: [Police Academy 3: Back in Training, stars, Bruce Mahler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruce Mahler Context triple: [Police Academy 3: Back in Training, stars, Bruce Mahler]
-
A.
Bruce Mahler
chosen
Bruce Mahler is an American actor and comedian best known for his role as the nervous Officer Fackler in the Police Academy film series.
-
B.
Roger Birnbaum
Roger Birnbaum is an American film producer and studio executive known for co-founding Spyglass Entertainment and producing numerous mainstream Hollywood films.
-
C.
Michael Berman
Michael Berman is a writer and contributor known for his work published in George magazine.
-
D.
Richard Masur
Richard Masur is an American character actor known for his extensive film and television work since the 1970s, including roles in movies like "Risky Business" and the miniseries "It."
-
E.
Eric Tannenbaum
Eric Tannenbaum is a television producer best known for his work on popular American sitcoms, including serving as an executive producer on "Two and a Half Men."
- 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_69fec87ce9808190a862ac5839272711 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:05 a.m.