Triple
T12943918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Entropy |
E309710
|
entity |
| Predicate | isPartOfDiscographyOf |
P1995
|
FINISHED |
| Object | Slow Learner |
E1018141
|
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: Slow Learner | Statement: [Entropy, isPartOfDiscographyOf, Slow Learner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slow Learner Context triple: [Entropy, isPartOfDiscographyOf, Slow Learner]
-
A.
Slow Learner
chosen
Slow Learner is a musical artist known for performing experimental, atmospheric tracks associated with the project Entropy.
-
B.
Slow Learner
Slow Learner is a collection of early short stories by American novelist Thomas Pynchon, showcasing the development of his distinctive postmodern style.
-
C.
Slow Start
Slow Start is a Japanese slice-of-life comedy anime series following a shy high school girl who starts school a year late and gradually builds friendships, known for its cute character designs and lighthearted tone.
-
D.
Slow Show
"Slow Show" is a reflective, emotionally charged indie rock song by The National from their acclaimed 2007 album *Boxer*.
-
E.
Slow Man
Slow Man is a novel by Nobel Prize–winning author J. M. Coetzee that explores aging, disability, and identity through the story of a photographer whose life is transformed after a debilitating accident.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1a28688190ab9fd1307bc76b4a |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e264475c8190940f83c57f51585d |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 5:43 p.m.