Triple
T20652362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauty and the Beat |
E507528
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Rob Freeman |
—
|
NE NERFINISHED |
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: Rob Freeman | Statement: [Beauty and the Beat, producer, Rob Freeman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Freeman Context triple: [Beauty and the Beat, producer, Rob Freeman]
-
A.
Rob Freeman
chosen
Rob Freeman is a record producer and engineer best known for his work on several influential punk rock albums, including releases by the Ramones.
-
B.
Bob Gunton
Bob Gunton is an American character actor best known for his portrayal of the strict prison warden Samuel Norton in the film "The Shawshank Redemption."
-
C.
Rob Morrow
Rob Morrow is an American actor best known for his roles in the television series "Northern Exposure" and "Numb3rs."
-
D.
Michael J. Hopkins
Michael J. Hopkins is an American mathematician renowned for his influential work in algebraic topology and homotopy theory.
-
E.
John Brent
"John Brent" is an 1862 adventure novel by American writer Theodore Winthrop, noted for its vivid depictions of the American West and themes of frontier life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af22d6bc8190b9d6877aba5704eb |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.