Triple
T23052366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daydream Believer |
E574052
|
entity |
| Predicate | label |
P38
|
FINISHED |
| Object | Colgems 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: Colgems Records | Statement: [Daydream Believer, label, Colgems Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colgems Records Context triple: [Daydream Believer, label, Colgems Records]
-
A.
Colgems Records
chosen
Colgems Records was an American record label best known for releasing music by The Monkees and other pop acts in the late 1960s.
-
B.
Regal Recordings
Regal Recordings is a British record label known for signing prominent artists such as Lily Allen and releasing influential pop and alternative music.
-
C.
Red Hill Records
Red Hill Records is a Christian music label known for releasing Katy Perry’s early gospel album before her mainstream pop breakthrough.
-
D.
Daybreak Records
Daybreak Records is a music label known for releasing recordings by American singer and bandleader Frank Sinatra Jr.
-
E.
Streamline Records
Streamline Records is a record label associated with major pop acts, notably helping launch the early career of American singer-songwriter Lady Gaga.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867d010c8190bc5dba6758d0b797 |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.