Triple
T33967490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Sobrante |
E870893
|
entity |
| Predicate | languageOfStageName |
P13426
|
FINISHED |
| Object | Spanish-influenced English |
—
|
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: Spanish-influenced English | Statement: [Al Sobrante, languageOfStageName, Spanish-influenced English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfStageName Context triple: [Al Sobrante, languageOfStageName, Spanish-influenced English]
-
A.
useOfStageName
Indicates that an entity performs or is known publicly under a stage name rather than their legal or original name.
-
B.
usesStageNameFormat
Indicates that an entity’s stage name follows or conforms to a particular naming format or pattern.
-
C.
stageName
Indicates that one entity is the performance or professional name used by another entity.
-
D.
languageName
chosen
Indicates the specific name assigned to a language in the relationship.
-
E.
stageNameDerivedFrom
Indicates that an entity’s stage name is derived from, based on, or taken from another specified name or source.
- 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_69f3499ce8e88190b66e1d49ad8c7037 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0049e40d60819081e3899d8d9fca51 |
completed | May 10, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_6a0048c47b548190ad31b2901cc3784a |
completed | May 10, 2026, 8:58 a.m. |
Created at: May 1, 2026, 1:50 a.m.