Triple
T13882524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sha Na Na |
E333752
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Kama Sutra Records |
E540185
|
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: Kama Sutra Records | Statement: [Sha Na Na, recordLabel, Kama Sutra Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kama Sutra Records Context triple: [Sha Na Na, recordLabel, Kama Sutra Records]
-
A.
Kama Sutra Records
chosen
Kama Sutra Records was an American record label active primarily in the 1960s and 1970s, known for releasing rock and pop music by various artists.
-
B.
Antra Records
Antra Records is an independent hip hop record label best known for releasing music by West Coast rapper Kurupt.
-
C.
Pampa Records
Pampa Records is a German independent electronic music label founded by DJ and producer DJ Koze, known for its eclectic and experimental releases.
-
D.
Kedar Records
Kedar Records is a music label best known for releasing Erykah Badu’s influential debut album "Baduizm" and for its role in promoting neo-soul artists in the 1990s.
-
E.
Suretone Records
Suretone Records is an American record label known for working with rock and alternative bands, often in partnership with major music distributors.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0bea4d248190bcbcea9ea875c5f9 |
completed | April 14, 2026, 9:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c71419b481908a3ef80abec1bf23 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:15 p.m.