Triple
T37065052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Como La Flor |
E917419
|
entity |
| Predicate | dedicatedToAudience |
P62009
|
FINISHED |
| Object | Spanish-speaking listeners |
—
|
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-speaking listeners | Statement: [Como La Flor, dedicatedToAudience, Spanish-speaking listeners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dedicatedToAudience Context triple: [Como La Flor, dedicatedToAudience, Spanish-speaking listeners]
-
A.
relatesToAudience
chosen
Indicates a general relationship or relevance between something and a particular audience or group of recipients.
-
B.
dedicatedToStyleOf
Indicates that something is devoted or specifically tailored to a particular style or manner of expression.
-
C.
writesForAudience
Indicates that an agent creates written content intended specifically for a particular audience or readership.
-
D.
audienceOrientation
Indicates how something is directed, tailored, or positioned with respect to a particular audience or group of recipients.
-
E.
audienceDescribedAs
Indicates that an audience is characterized or labeled using a particular description or set of attributes.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:14 p.m.