Triple
T6102042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rusty Cage |
E136019
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object |
Eric Zimmerman
Eric Zimmerman is a filmmaker and music video director known for creating visually distinctive videos for alternative and rock artists.
|
E590478
|
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: Eric Zimmerman | Statement: [Rusty Cage, musicVideoDirector, Eric Zimmerman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Zimmerman Context triple: [Rusty Cage, musicVideoDirector, Eric Zimmerman]
-
A.
Michael Haussman
Michael Haussman is an American director and filmmaker best known for his work on high-profile music videos and commercials.
-
B.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
C.
Michael Wandmacher
Michael Wandmacher is an American film and television composer known for his work on horror and action projects, including the score for "My Bloody Valentine 3D."
-
D.
Don Zimmerman
Don Zimmerman is a film editor known for his work on major Hollywood movies, including the family adventure-comedy "Night at the Museum."
-
E.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
- 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: Eric Zimmerman Triple: [Rusty Cage, musicVideoDirector, Eric Zimmerman]
Generated description
Eric Zimmerman is a filmmaker and music video director known for creating visually distinctive videos for alternative and rock artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eric Zimmerman Target entity description: Eric Zimmerman is a filmmaker and music video director known for creating visually distinctive videos for alternative and rock artists.
-
A.
Michael Haussman
Michael Haussman is an American director and filmmaker best known for his work on high-profile music videos and commercials.
-
B.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
C.
Michael Wandmacher
Michael Wandmacher is an American film and television composer known for his work on horror and action projects, including the score for "My Bloody Valentine 3D."
-
D.
Don Zimmerman
Don Zimmerman is a film editor known for his work on major Hollywood movies, including the family adventure-comedy "Night at the Museum."
-
E.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3c073c81908248c799934d6fce |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6384cf18481909e8cc7f8d35ba2c5 |
completed | March 27, 2026, 7:57 a.m. |
| NEDg | Description generation | batch_69c63b30d87081908fc33b65a40967c7 |
completed | March 27, 2026, 8:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63b9fec888190a06a64791cfc5bc9 |
completed | March 27, 2026, 8:11 a.m. |
Created at: March 22, 2026, 4:13 p.m.