Triple
T4895816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A&R Recording Studios, New York City |
E109675
|
entity |
| Predicate | genreRecorded |
P38924
|
FINISHED |
| Object | rock |
—
|
LITERAL 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: rock | Statement: [A&R Recording Studios, New York City, genreRecorded, rock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreRecorded Context triple: [A&R Recording Studios, New York City, genreRecorded, rock]
-
A.
genreRecognized
Indicates that a particular genre has been identified or acknowledged as applicable to an entity.
-
B.
genreOfAssociatedPerson
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
-
C.
genreAssociatedWith
chosen
Indicates a relationship where a work, item, or entity is linked to or categorized under a particular genre.
-
D.
recordedFor
Indicates that something has been documented, captured, or logged on behalf of or in association with a particular entity or context.
-
E.
genreSpecialty
Indicates that an entity specializes in or is particularly associated with a specific genre.
- F. None of above.
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_69bd4410bbf88190aad50d2451c863d6 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffabccc81909115ece1b04e2061 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2e7b5c8190b8bf9d616dfa24f0 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:28 p.m.