Triple
T13055496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joy Inside My Tears |
E327559
|
entity |
| Predicate | appearsOnFormat |
P102437
|
FINISHED |
| Object | vinyl LP |
—
|
LITERAL 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: vinyl LP | Statement: [Joy Inside My Tears, appearsOnFormat, vinyl LP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsOnFormat Context triple: [Joy Inside My Tears, appearsOnFormat, vinyl LP]
-
A.
presentedInFormat
chosen
Indicates that something is expressed, delivered, or made available using a particular format or representation.
-
B.
mayAppearOn
Indicates that one entity is allowed or able to be shown, featured, or present on another entity (such as a platform, medium, or surface).
-
C.
appearsInFilmFormat
Indicates that something is presented or occurs within a specific film format or medium of cinematic presentation.
-
D.
operatesInFormat
Indicates that an entity functions, performs its role, or is carried out using a specified format.
-
E.
appearsFor
Indicates that one entity is presented, shown, or made visible on behalf of, or in representation of, another entity.
- F. None of above.
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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:58 p.m.