Triple
T20434452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Scenes |
E501216
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | GRP 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: GRP Records | Statement: [Love Scenes, recordLabel, GRP Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GRP Records Context triple: [Love Scenes, recordLabel, GRP Records]
-
A.
GRP Records
chosen
GRP Records is a jazz-focused record label best known for its polished contemporary and smooth jazz releases and its roster of acclaimed artists.
-
B.
Reach Records
Reach Records is an independent Christian hip hop record label known for promoting faith-based rap artists and albums.
-
C.
RB Records
RB Records is a music record label known for releasing the single "My Moment."
-
D.
Round Records
Round Records is a music label known for releasing recordings by the American rock band Kingfish and other related artists.
-
E.
TK Records
TK Records was a prominent 1970s American independent record label best known for its influential role in the development and popularization of disco and soul music.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ecf7ac81908e9c2ef4348fb281 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.