Triple
T14630538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Group Home |
E343466
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Babygrande Records |
E351722
|
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: Babygrande Records | Statement: [Group Home, recordLabel, Babygrande Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Babygrande Records Context triple: [Group Home, recordLabel, Babygrande Records]
-
A.
Babygrande Records
chosen
Babygrande Records is an independent hip-hop record label known for releasing music by influential underground and East Coast rap artists.
-
B.
Rhythm & Groove Records
Rhythm & Groove Records is a music label known for releasing work by acclaimed soul and jazz vocalist and pianist Oleta Adams.
-
C.
Daybreak Records
Daybreak Records is a music label known for releasing recordings by American singer and bandleader Frank Sinatra Jr.
-
D.
Rowdy Records
Rowdy Records is a record label known for working with R&B artists such as Monica in the 1990s.
-
E.
Brando Records
Brando Records is an independent music label known for working with alternative rock acts such as Blue October.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a912248190a3df7f821395c776 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda92ded848190b031d3ff29e54a00 |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:26 a.m.