Triple
T7298880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slowhand |
E167789
|
entity |
| Predicate | coverArtDesigner |
P184
|
FINISHED |
| Object |
Bob Defrin
Bob Defrin is a graphic designer best known for creating album cover art, particularly in the rock and metal music scenes.
|
E655098
|
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 Defrin | Statement: [Slowhand, coverArtDesigner, Bob Defrin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Defrin Context triple: [Slowhand, coverArtDesigner, Bob Defrin]
-
A.
Michael Gruskoff
Michael Gruskoff is an American film producer best known for his work on influential 1970s and 1980s films, including the cult science fiction movie "Silent Running."
-
B.
Dov Frohman
Dov Frohman is an Israeli engineer and inventor best known for pioneering the EPROM (erasable programmable read-only memory) and for his leadership role at Intel Israel.
-
C.
Larry Fortensky
Larry Fortensky was an American construction worker best known as the seventh and final husband of actress Elizabeth Taylor.
-
D.
Michael Vavitch
Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
-
E.
Nick Frenkel
Nick Frenkel is a television producer best known for his work as an executive producer on the long-running comedy series "It's Always Sunny in Philadelphia."
- 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 Defrin Triple: [Slowhand, coverArtDesigner, Bob Defrin]
Generated description
Bob Defrin is a graphic designer best known for creating album cover art, particularly in the rock and metal music scenes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bob Defrin Target entity description: Bob Defrin is a graphic designer best known for creating album cover art, particularly in the rock and metal music scenes.
-
A.
Michael Gruskoff
Michael Gruskoff is an American film producer best known for his work on influential 1970s and 1980s films, including the cult science fiction movie "Silent Running."
-
B.
Dov Frohman
Dov Frohman is an Israeli engineer and inventor best known for pioneering the EPROM (erasable programmable read-only memory) and for his leadership role at Intel Israel.
-
C.
Larry Fortensky
Larry Fortensky was an American construction worker best known as the seventh and final husband of actress Elizabeth Taylor.
-
D.
Michael Vavitch
Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
-
E.
Nick Frenkel
Nick Frenkel is a television producer best known for his work as an executive producer on the long-running comedy series "It's Always Sunny in Philadelphia."
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebad1b4481909e49ccc580007e4b |
completed | March 27, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e550645c819085effd46dff60f09 |
completed | March 28, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69c7e67a988881909b3d53ab8da43a8e |
completed | March 28, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e71dc39c8190951424cb543d58df |
completed | March 28, 2026, 2:35 p.m. |
Created at: March 27, 2026, 3 p.m.