Triple
T20495817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosanne Cash |
E502869
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Manhattan Records |
—
|
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: Manhattan Records | Statement: [Rosanne Cash, recordLabel, Manhattan Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manhattan Records Context triple: [Rosanne Cash, recordLabel, Manhattan Records]
-
A.
Manhattan Records
chosen
Manhattan Records is a record label known for releasing notable pop and jazz albums, including Bobby McFerrin’s hit “Don’t Worry, Be Happy.”
-
B.
Savoy Records
Savoy Records is a pioneering American jazz and blues record label renowned for recording influential bebop artists such as Charlie Parker.
-
C.
Okeh Records
Okeh Records is an American record label historically known for its influential early jazz and blues recordings, including landmark releases by Louis Armstrong.
-
D.
Fonograf Records
Fonograf Records is an independent record label known for releasing critically acclaimed and artistically driven music projects.
-
E.
Liberty Records
Liberty Records is an American record label known for releasing popular country, pop, and rock music, particularly active from the 1950s through the 1970s.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbd2dfc81908204f7bfa8a763b6 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.