Triple
T35224692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paquita Valdès |
E1017057
|
entity |
| Predicate | firstPublicationWorkDate |
P60473
|
FINISHED |
| Object | 1835 |
—
|
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: 1835 | Statement: [Paquita Valdès, firstPublicationWorkDate, 1835]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublicationWorkDate Context triple: [Paquita Valdès, firstPublicationWorkDate, 1835]
-
A.
firstBookPublicationDate
Indicates the calendar date on which an entity’s first book was officially published.
-
B.
firstPublishedInWorkYear
chosen
Indicates the year in which a work was first published.
-
C.
firstPublicationOfContainingWork
Indicates that the related entity is the earliest published work in which the referenced work or content first appeared.
-
D.
firstPublicationPeriod
Indicates the time span during which something was first published or initially made publicly available.
-
E.
firstAssociatedPublicationYear
Indicates the calendar year in which an entity’s earliest associated publication was first released or made publicly available.
- 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_69f76de072908190ab65038a8a7b6a79 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.