Triple
T28664597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red to join him in Zihuatanejo |
E725553
|
entity |
| Predicate | originalPublicationYearOfSource |
P60473
|
FINISHED |
| Object | 1982 |
—
|
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: 1982 | Statement: [Red to join him in Zihuatanejo, originalPublicationYearOfSource, 1982]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPublicationYearOfSource Context triple: [Red to join him in Zihuatanejo, originalPublicationYearOfSource, 1982]
-
A.
originalCollectionPublicationYear
Indicates the year in which the original collection containing the entity was first published.
-
B.
publicationYear
Indicates the specific calendar year in which a work was formally published or released.
-
C.
originalIntendedPublicationYear
Indicates the year in which a work was initially planned or intended to be published, regardless of when it was actually released.
-
D.
firstPublishedInWorkYear
chosen
Indicates the year in which a work was first published.
-
E.
republicationYear
Indicates the year in which a work is published again after its original publication.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69feff70fbec8190b1ff5f943f29613e |
completed | May 9, 2026, 9:33 a.m. |
| PD | Predicate disambiguation | batch_69fefbcd5b7881909cfe52b32f8a4301 |
completed | May 9, 2026, 9:18 a.m. |
Created at: April 28, 2026, 5 a.m.