Triple
T4332331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concrete Blonde |
E96780
|
entity |
| Predicate | hasDrummer |
P15280
|
FINISHED |
| Object | Harry Rushakoff |
E444299
|
NE FINISHED |
How this triple was built (2 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: Harry Rushakoff | Statement: [Concrete Blonde, hasDrummer, Harry Rushakoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Rushakoff Context triple: [Concrete Blonde, hasDrummer, Harry Rushakoff]
-
A.
Harry Rushakoff
chosen
Harry Rushakoff is an American rock drummer best known for his work with the alternative rock band Concrete Blonde.
-
B.
Michael Rachmil
Michael Rachmil is a film producer best known for his work on the 1987 romantic comedy "Roxanne" starring Steve Martin.
-
C.
David Rappaport
David Rappaport was a British actor best known for his roles in fantasy and science-fiction films and television series during the late 20th century.
-
D.
Michael Rotenberg
Michael Rotenberg is a television producer and manager best known for his work on popular comedy series including It's Always Sunny in Philadelphia.
-
E.
Howard Rosenman
Howard Rosenman is an American film producer known for his work on popular Hollywood movies and for helping bring LGBTQ themes into mainstream cinema.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514dc588819086a4c6d585c1b5b1 |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6721dcf28819080b6a265152059e9 |
completed | March 15, 2026, 8:47 a.m. |
Created at: March 12, 2026, 11:13 p.m.