Triple
T37209271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spirit: Stallion of the Cimarron (soundtrack) |
E922254
|
entity |
| Predicate | featuresVocalSongs |
P205785
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Spirit: Stallion of the Cimarron (soundtrack), featuresVocalSongs, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresVocalSongs Context triple: [Spirit: Stallion of the Cimarron (soundtrack), featuresVocalSongs, yes]
-
A.
featuresVocal
Indicates that one entity includes or presents the vocal performance or voice of another entity.
-
B.
featuresVocalChant
Indicates that the subject includes or contains vocal chanting as a prominent element or component.
-
C.
featuresVocalHarmonyBy
Indicates that the subject work includes vocal harmony performances contributed by the specified artist or group.
-
D.
featuresVocalStyleOf
Indicates that one entity exhibits or incorporates the distinctive vocal style or vocal characteristics associated with another entity.
-
E.
featuresVocalPercussion
Indicates that the subject includes or makes use of vocal percussion (such as beatboxing or mouth-made rhythmic sounds) as part of its content or performance.
- F. None of above. chosen
Provenance (4 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_69f76ea4849481909b4a3073efb0114c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:15 p.m.