Triple
T11037194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pemberley |
E260916
|
entity |
| Predicate | visitChangesOpinionOf |
P6009
|
FINISHED |
| Object | Elizabeth Bennet about Mr. Darcy |
—
|
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: Elizabeth Bennet about Mr. Darcy | Statement: [Pemberley, visitChangesOpinionOf, Elizabeth Bennet about Mr. Darcy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visitChangesOpinionOf Context triple: [Pemberley, visitChangesOpinionOf, Elizabeth Bennet about Mr. Darcy]
-
A.
opinionBy
Indicates that a particular opinion, viewpoint, or judgment is expressed or held by a specific entity.
-
B.
hasDifferentOpinionsOn
Indicates that two or more entities hold differing views or judgments regarding a particular topic, issue, or subject.
-
C.
reasonForChange
chosen
Indicates that one entity serves as the cause, justification, or motivation for a modification or change in another entity or state.
-
D.
visits
Indicates that one entity goes to or spends time at the location or presence of another entity.
-
E.
visitorPractice
Indicates that a visitor engages in or performs a particular practice, activity, or routine.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797fd5fe081908af13835b18de7b8 |
completed | April 9, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69d74407cb088190ba37c8da3d342b64 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:25 p.m.