Triple
T4454592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foxy Lady |
E97689
|
entity |
| Predicate | hasIntroFeature |
P45798
|
FINISHED |
| Object | sustained guitar note with vibrato |
—
|
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: sustained guitar note with vibrato | Statement: [Foxy Lady, hasIntroFeature, sustained guitar note with vibrato]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIntroFeature Context triple: [Foxy Lady, hasIntroFeature, sustained guitar note with vibrato]
-
A.
hasIntroduction
Indicates that one entity includes or provides an introductory section, part, or presentation for another entity.
-
B.
hasOpeningFeature
chosen
Indicates that an entity possesses a specific characteristic, element, or attribute related to its opening or entry point.
-
C.
hasOnboardFeature
Indicates that an entity includes or is equipped with a particular feature as part of its built-in or onboard capabilities.
-
D.
hasNotableFeature
Indicates that an entity possesses a specific characteristic, trait, or attribute that is considered significant or noteworthy.
-
E.
introduced
Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f669948190b14ef42e8dbca525 |
completed | March 13, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69b34f649df081909d3cc2f6a1b8f282 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:33 p.m.