Triple
T16674180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cooking Vinyl |
E405176
|
entity |
| Predicate | hasArtist |
P5936
|
FINISHED |
| Object | Embrace |
E1145105
|
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: Embrace | Statement: [Cooking Vinyl, hasArtist, Embrace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Embrace Context triple: [Cooking Vinyl, hasArtist, Embrace]
-
A.
Embrace
chosen
Embrace is an English alternative rock band known for their anthemic sound and chart-topping success in the late 1990s and 2000s.
-
B.
Embrace
Embrace is a studio album by Dutch DJ and producer Armin van Buuren that blends trance with diverse musical influences and collaborations.
-
C.
Embrace It
"Embrace It" is a song from the Broadway musical adaptation of Anne Rice’s The Vampire Chronicles, Lestat.
-
D.
Your Embrace
"Your Embrace" is a pop song by Shakira from her English-language album Oral Fixation, Vol. 2.
-
E.
Emblems of Love
Emblems of Love is a collection of lyrical and dramatic poems by British poet Lascelles Abercrombie, reflecting his rich, symbolist-influenced style and preoccupation with love and human experience.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6904008190a79ab30b6d9ccae9 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3ab8b481908b333b6a556a58d5 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.