Triple
T21445536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Fisher |
E529061
|
entity |
| Predicate | changeCatalyst |
P144376
|
FINISHED |
| Object | Italian environment |
—
|
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: Italian environment | Statement: [Mrs. Fisher, changeCatalyst, Italian environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: changeCatalyst Context triple: [Mrs. Fisher, changeCatalyst, Italian environment]
-
A.
associatedSocialChange
Indicates a relationship where one entity is linked to, or results in, a particular social change affecting behaviors, norms, or structures in society.
-
B.
conceptualizesChangeAs
Indicates that one entity understands, frames, or interprets a change in terms of another concept or model.
-
C.
changeType
Indicates the specific kind or category of modification that has occurred to an entity or relationship.
-
D.
changeDescription
Indicates that an entity’s descriptive information has been modified from a previous state.
-
E.
changeReason
Indicates the reason or justification for a modification or change made to an entity or its state.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b707ecd88190b3576b8923840870 |
completed | April 22, 2026, 11:54 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e63d2aca38819094d312078feaa436 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 16, 2026, 6:05 p.m.