Triple
T13033562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Power and Market |
E326499
|
entity |
| Predicate | originalIntendedPublicationYear |
P107552
|
FINISHED |
| Object | 1962 |
—
|
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: 1962 | Statement: [Power and Market, originalIntendedPublicationYear, 1962]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalIntendedPublicationYear Context triple: [Power and Market, originalIntendedPublicationYear, 1962]
-
A.
originYear
Indicates the year in which something first originated, was created, or began.
-
B.
firstAssociatedPublicationYear
Indicates the calendar year in which an entity’s earliest associated publication was first released or made publicly available.
-
C.
publicationYear
Indicates the specific calendar year in which a work was formally published or released.
-
D.
republicationYear
Indicates the year in which a work is published again after its original publication.
-
E.
firstPublishedInWorkYear
Indicates the year in which a work was first published.
- F. None of above. chosen
Provenance (4 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97effca908190ab89fdb034e02680 |
completed | April 10, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e3df2288190a7f27d31d248bb7f |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 8:54 p.m.