Triple
T1911656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camilo Cienfuegos |
E38122
|
entity |
| Predicate | quoteAttributed |
P21904
|
FINISHED |
| Object | Vas bien, Fidel |
—
|
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: Vas bien, Fidel | Statement: [Camilo Cienfuegos, quoteAttributed, Vas bien, Fidel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quoteAttributed Context triple: [Camilo Cienfuegos, quoteAttributed, Vas bien, Fidel]
-
A.
quoteAttributedTo
chosen
Indicates that a specific quotation is credited as having been said or written by a particular source or entity.
-
B.
notableQuote
Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
-
C.
questionedAttribution
Indicates that the correctness or source of an attribution between entities is being challenged or called into doubt.
-
D.
notableQuoteTranslation
Indicates that one quote is a translation of another quote, preserving its meaning across different languages.
-
E.
creditedFor
Indicates that one entity is acknowledged as the source, contributor, or originator responsible for another entity (such as a work, achievement, or outcome).
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafeba3d88190afcce67483d8625b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.