Triple
T15158941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Police Academy 4: Citizens on Patrol |
E362154
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Jim Drake
Jim Drake was an American film and television director known for his work on comedies in the 1980s and 1990s.
|
E1140729
|
NE FINISHED |
How this triple was built (4 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: Jim Drake | Statement: [Police Academy 4: Citizens on Patrol, director, Jim Drake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Drake Context triple: [Police Academy 4: Citizens on Patrol, director, Jim Drake]
-
A.
Larry Drake
Larry Drake was an American character actor best known for his Emmy-winning role as Benny on the TV series "L.A. Law" and for playing memorable villains in films and horror anthologies.
-
B.
Ken Drake
Ken Drake was an American character actor known for his numerous supporting roles in mid-20th-century film and television.
-
C.
Ben Eubanks
Ben Eubanks is an American entrepreneur known for co-founding a venture with attorney and political figure Cate Edwards.
-
D.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
-
E.
Dan Rydell
Dan Rydell is a charismatic, quick-witted sports anchor and one of the central protagonists on the television series "Sports Night."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jim Drake Triple: [Police Academy 4: Citizens on Patrol, director, Jim Drake]
Generated description
Jim Drake was an American film and television director known for his work on comedies in the 1980s and 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jim Drake Target entity description: Jim Drake was an American film and television director known for his work on comedies in the 1980s and 1990s.
-
A.
Larry Drake
Larry Drake was an American character actor best known for his Emmy-winning role as Benny on the TV series "L.A. Law" and for playing memorable villains in films and horror anthologies.
-
B.
Ken Drake
Ken Drake was an American character actor known for his numerous supporting roles in mid-20th-century film and television.
-
C.
Ben Eubanks
Ben Eubanks is an American entrepreneur known for co-founding a venture with attorney and political figure Cate Edwards.
-
D.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
-
E.
Dan Rydell
Dan Rydell is a charismatic, quick-witted sports anchor and one of the central protagonists on the television series "Sports Night."
- F. None of above. chosen
Provenance (5 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060dd71881908ecc4a4f52d438a5 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febffaa4b88190aab36fdae057e6d2 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec23c83ac819087633c0f64e50506 |
completed | May 9, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec2f95a408190850e4d81839822ba |
completed | May 9, 2026, 5:15 a.m. |
Created at: April 10, 2026, 3:08 a.m.