Triple
T15937977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Can’t Hold Back |
E386485
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object |
Bob Radler
Bob Radler is a film and music video director best known for his work on rock videos in the 1980s and action films such as "Best of the Best."
|
E1184490
|
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: Bob Radler | Statement: [I Can’t Hold Back, musicVideoDirector, Bob Radler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Radler Context triple: [I Can’t Hold Back, musicVideoDirector, Bob Radler]
-
A.
Bob Tischler
Bob Tischler is an American comedy and music producer best known for his work with The Blues Brothers and on various comedy recordings.
-
B.
Dennis Virkler
Dennis Virkler was an American film editor known for his work on numerous Hollywood features, including major comedies and action films.
-
C.
Don Blum
Don Blum is an American rock drummer best known for his work with the Detroit garage rock band The Von Bondies.
-
D.
Fred Schuler
Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
-
E.
Robert Hohman
Robert Hohman is an American entrepreneur best known as the co-founder and former CEO of Glassdoor, a popular platform for anonymous employee reviews and salary information.
- 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: Bob Radler Triple: [I Can’t Hold Back, musicVideoDirector, Bob Radler]
Generated description
Bob Radler is a film and music video director best known for his work on rock videos in the 1980s and action films such as "Best of the Best."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bob Radler Target entity description: Bob Radler is a film and music video director best known for his work on rock videos in the 1980s and action films such as "Best of the Best."
-
A.
Bob Tischler
Bob Tischler is an American comedy and music producer best known for his work with The Blues Brothers and on various comedy recordings.
-
B.
Dennis Virkler
Dennis Virkler was an American film editor known for his work on numerous Hollywood features, including major comedies and action films.
-
C.
Don Blum
Don Blum is an American rock drummer best known for his work with the Detroit garage rock band The Von Bondies.
-
D.
Fred Schuler
Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
-
E.
Robert Hohman
Robert Hohman is an American entrepreneur best known as the co-founder and former CEO of Glassdoor, a popular platform for anonymous employee reviews and salary information.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ac934c8190b6178eb66023252e |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5b8121881909b15bf6451d3d3a8 |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb718d60481908ac0034ed8d8abc5 |
completed | May 9, 2026, 10:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb7c98cf8819097c7012040dbfe89 |
completed | May 9, 2026, 10:40 p.m. |
Created at: April 10, 2026, 4:53 a.m.