Triple
T1857699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Biglow Papers |
E41741
|
entity |
| Predicate | thirdSeriesPublicationYear |
P33641
|
FINISHED |
| Object | 1867 |
—
|
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: 1867 | Statement: [The Biglow Papers, thirdSeriesPublicationYear, 1867]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdSeriesPublicationYear Context triple: [The Biglow Papers, thirdSeriesPublicationYear, 1867]
-
A.
thirdSeriesCode
Indicates that an entity is associated with a specific code identifying its third series or third-level sequence within a set or classification.
-
B.
thirdGenerationReleaseDate
Indicates the date on which the third generation of an item, product, or entity was officially released.
-
C.
laterTypicalEditionYear
Indicates that one edition’s typical publication year occurs after that of another edition.
-
D.
firstSeriesYear
Indicates the year in which a series (such as a TV show, book series, or sports league season) first began or was initially released.
-
E.
fourthVolumePublicationYear
Indicates the year in which the fourth volume of a multi-volume work was 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb231de14819091da3a20ed03c430 |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafde4598819099d8229128348fd3 |
completed | March 7, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69abb22f36f08190abf5e295ddf310d7 |
completed | March 7, 2026, 5:05 a.m. |
Created at: March 4, 2026, 7:33 p.m.