Triple
T22877203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | and the Anonymous Nobody... |
E567354
|
entity |
| Predicate | eclecticProduction |
P45537
|
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: [and the Anonymous Nobody..., eclecticProduction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eclecticProduction Context triple: [and the Anonymous Nobody..., eclecticProduction, true]
-
A.
workHasEclecticSoundtrack
Indicates that the work features a soundtrack composed of diverse, stylistically varied, or unconventional musical selections.
-
B.
commercialMix
Indicates a relationship where different commercial elements, such as products, services, or marketing components, are combined or integrated into a single offering or context.
-
C.
workHasEclecticScore
chosen
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.
musicFusionOf
Indicates a relationship where one musical work, style, or element is created by combining or blending two or more distinct musical sources or genres.
-
E.
oftenTunesTo
Indicates that one entity frequently adjusts or sets its frequency, settings, or focus to match or receive 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f5966c08190a9ded9b19b166112 |
completed | April 29, 2026, 3:47 a.m. |
| PD | Predicate disambiguation | batch_69eed2d8c0608190afef4c4e530c0e2c |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:39 p.m.