Triple
T36042021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Honeychurch |
E1042565
|
entity |
| Predicate | initiallyDisapprovesOf |
P107359
|
FINISHED |
| Object | George Emerson |
—
|
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: George Emerson | Statement: [Mrs. Honeychurch, initiallyDisapprovesOf, George Emerson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initiallyDisapprovesOf Context triple: [Mrs. Honeychurch, initiallyDisapprovesOf, George Emerson]
-
A.
disapprovedOf
chosen
Indicates that one entity holds a negative judgment or lack of approval toward another entity or that entity’s actions.
-
B.
opposedBecause
Indicates that one entity is opposed to another specifically due to a particular reason, cause, or justification.
-
C.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
D.
approves
Indicates that one entity formally accepts, authorizes, or agrees to a proposal, action, or decision made by another entity.
-
E.
dislikes
Indicates that one entity has a negative feeling or aversion toward another entity.
- 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_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 3, 2026, 4:07 p.m.