Triple
T33478420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lydia Bennet |
E857388
|
entity |
| Predicate | rescuedFromScandalBy |
P176663
|
FINISHED |
| Object | Fitzwilliam Darcy |
—
|
NE NERFINISHED |
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: Fitzwilliam Darcy | Statement: [Lydia Bennet, rescuedFromScandalBy, Fitzwilliam Darcy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rescuedFromScandalBy Context triple: [Lydia Bennet, rescuedFromScandalBy, Fitzwilliam Darcy]
-
A.
disgracedFor
Indicates that an entity has lost honor, respect, or status specifically because of the associated reason, action, or circumstance.
-
B.
associatedScandal
Indicates a relationship where an entity is linked to, involved in, or notably connected with a particular scandal.
-
C.
reputationBeforeScandal
Indicates the reputation or public standing an entity had prior to a specific scandal or damaging event.
-
D.
effectOfScandal
Indicates the consequences or impact that a particular scandal has on a person, organization, event, or situation.
-
E.
wasToppled
Indicates that an entity was forcibly overthrown, removed from power, or knocked down from its previous position or status.
- 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.