Triple
T32932750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aunt Gertrude Hardy |
E842439
|
entity |
| Predicate | expressesDisapprovalOf |
P107359
|
FINISHED |
| Object | Frank and Joe's dangerous investigations |
—
|
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: Frank and Joe's dangerous investigations | Statement: [Aunt Gertrude Hardy, expressesDisapprovalOf, Frank and Joe's dangerous investigations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expressesDisapprovalOf Context triple: [Aunt Gertrude Hardy, expressesDisapprovalOf, Frank and Joe's dangerous investigations]
-
A.
disapprovedOf
chosen
Indicates that one entity holds a negative judgment or lack of approval toward another entity or that entity’s actions.
-
B.
dislikes
Indicates that one entity has a negative feeling or aversion toward another entity.
-
C.
condemnsActionBy
Indicates that one entity expresses strong disapproval or moral censure of an action performed by another entity.
-
D.
rebukes
Indicates that one entity expresses sharp disapproval or criticism toward another, often to correct or reprimand their behavior or actions.
-
E.
expresses
Indicates that one entity conveys, communicates, or articulates a thought, feeling, or idea through another medium or form.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d10722e88190bb59c5768ce23d43 |
completed | May 3, 2026, 4:37 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:20 a.m.