Triple
T4803192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WXYC |
E106883
|
entity |
| Predicate | hasEclecticPlaylist |
P45536
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [WXYC, hasEclecticPlaylist, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEclecticPlaylist Context triple: [WXYC, hasEclecticPlaylist, true]
-
A.
workHasEclecticSoundtrack
chosen
Indicates that the work features a soundtrack composed of diverse, stylistically varied, or unconventional musical selections.
-
B.
hasCommonMusic
Indicates that two entities share at least one piece of music preference, interest, or item in common.
-
C.
workHasEclecticScore
Indicates that a work is associated with an eclectic score, linking the work to a musical or compositional score characterized by diverse or varied styles or elements.
-
D.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
E.
styleOfMusic
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
- 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_69bd43f6a1e08190bf0a372bfc336ee5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1c43a48190a65e56b1624a2339 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:23 p.m.