Triple
T35000404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Seward Hall |
E1009657
|
entity |
| Predicate | associatedWithWorkPublicationDecade |
P186025
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [William Seward Hall, associatedWithWorkPublicationDecade, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithWorkPublicationDecade Context triple: [William Seward Hall, associatedWithWorkPublicationDecade, 1980s]
-
A.
basedOnWorkPublicationDecade
Indicates that one entity is categorized or related to another based on the decade in which a referenced work was originally published.
-
B.
publicationDecade
Indicates the decade during which a publication was released or made publicly available.
-
C.
isAssociatedWithDecade
chosen
Indicates that something has a notable connection or relevance to a particular decade.
-
D.
firstWorkPublicationDecade
Indicates the decade during which an entity’s first work was published.
-
E.
workPublicationEndYearContext
Indicates the year in which a work’s publication activity ended, along with contextual information qualifying or explaining that end year.
- 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_69f76dcb716881909f75e4fd60ab2284 |
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_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.