Triple
T33477874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pride (theme in Pride and Prejudice) |
E857375
|
entity |
| Predicate | isSetAgainst |
P176662
|
FINISHED |
| Object | Regency-era English society |
—
|
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: Regency-era English society | Statement: [Pride (theme in Pride and Prejudice), isSetAgainst, Regency-era English society]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSetAgainst Context triple: [Pride (theme in Pride and Prejudice), isSetAgainst, Regency-era English society]
-
A.
recordSetAgainst
Indicates that a performance, statistic, or benchmark was achieved in opposition to or during a specific event, opponent, or condition.
-
B.
isSettlement
Indicates that the subject entity functions as a human-inhabited place or community, such as a town, village, or city.
-
C.
setAgainstEvent
Indicates that one event is positioned or framed in opposition or contrast to another event.
-
D.
isSettlementOf
Indicates that one entity is a settlement (such as a town, village, or city) that belongs to, is located within, or is administratively part of another entity.
-
E.
isAt
Indicates that one entity is located at or present in the place or position of another entity.
- 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_69f3497472508190b300ebd3fd402367 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e52c1a848190b35743f9e5361969 |
completed | May 3, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e47c13348190a10528c84a401178 |
completed | May 3, 2026, 6 a.m. |
Created at: May 1, 2026, 1:38 a.m.