Triple
T14658235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheech & Chong's Next Movie |
E344164
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Howard Brown
Howard Brown is a film producer best known for his work on the 1980 stoner comedy sequel "Cheech & Chong's Next Movie."
|
E1112227
|
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: Howard Brown | Statement: [Cheech & Chong's Next Movie, producer, Howard Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Brown Context triple: [Cheech & Chong's Next Movie, producer, Howard Brown]
-
A.
Jonathan Brown
Jonathan Brown is a cinematographer best known for his work on major studio comedies and mainstream Hollywood films, including the 2006 reboot of The Pink Panther.
-
B.
Jonathan Brown
Jonathan Brown is an individual known primarily as the son of Mr. Brown.
-
C.
Charles Haid
Charles Haid is an American actor and director best known for his role as Officer Andy Renko on the television series "Hill Street Blues."
-
D.
Howard Roseman
Howard Roseman is an American football executive best known as the longtime general manager and key roster architect of the NFL’s Philadelphia Eagles.
-
E.
David McDowell Brown
David McDowell Brown was a United States Navy captain and NASA astronaut who flew as a mission specialist on the ill-fated Space Shuttle Columbia STS-107 mission.
- 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: Howard Brown Triple: [Cheech & Chong's Next Movie, producer, Howard Brown]
Generated description
Howard Brown is a film producer best known for his work on the 1980 stoner comedy sequel "Cheech & Chong's Next Movie."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Howard Brown Target entity description: Howard Brown is a film producer best known for his work on the 1980 stoner comedy sequel "Cheech & Chong's Next Movie."
-
A.
Jonathan Brown
Jonathan Brown is a cinematographer best known for his work on major studio comedies and mainstream Hollywood films, including the 2006 reboot of The Pink Panther.
-
B.
Jonathan Brown
Jonathan Brown is an individual known primarily as the son of Mr. Brown.
-
C.
Charles Haid
Charles Haid is an American actor and director best known for his role as Officer Andy Renko on the television series "Hill Street Blues."
-
D.
Howard Roseman
Howard Roseman is an American football executive best known as the longtime general manager and key roster architect of the NFL’s Philadelphia Eagles.
-
E.
David McDowell Brown
David McDowell Brown was a United States Navy captain and NASA astronaut who flew as a mission specialist on the ill-fated Space Shuttle Columbia STS-107 mission.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51b6a248190a44050c0e0ec2d16 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e01cd081909c71fdcf67c3b1f5 |
completed | May 8, 2026, 12:24 p.m. |
| NEDg | Description generation | batch_69fdd65a6c24819088fb18ffcdfe6404 |
completed | May 8, 2026, 12:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd6f172288190ba7097518b1a971e |
completed | May 8, 2026, 12:28 p.m. |
Created at: April 10, 2026, 1:27 a.m.