Triple
T2706831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPod software |
E59360
|
entity |
| Predicate | mediaLibraryOrganization |
P19279
|
FINISHED |
| Object | by artist |
—
|
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: by artist | Statement: [iPod software, mediaLibraryOrganization, by artist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaLibraryOrganization Context triple: [iPod software, mediaLibraryOrganization, by artist]
-
A.
genreOfCollection
Indicates that a specified genre categorizes or characterizes a particular collection.
-
B.
mediaDepictionAs
Indicates that one entity is portrayed or represented as another entity or in a particular way within some medium (e.g., image, film, text).
-
C.
shareCultureWith
Indicates that two entities mutually participate in, express, or are influenced by the same cultural practices, values, or traditions.
-
D.
organizedUnder
Indicates that one entity is administratively or structurally placed within, and governed or managed by, another entity.
-
E.
organizesMaterialType
chosen
Indicates that one entity arranges or structures another entity according to a specific type or category of material.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda725f24819090e8d936b3d2d5bc |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd8224c688190bb4a362360b03007 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.