Triple
T20980143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Walter Elliot |
E516734
|
entity |
| Predicate | disdains |
P134548
|
FINISHED |
| Object | naval officers |
—
|
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: naval officers | Statement: [Sir Walter Elliot, disdains, naval officers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disdains Context triple: [Sir Walter Elliot, disdains, naval officers]
-
A.
dislikes
Indicates that one entity has a negative feeling or aversion toward another entity.
-
B.
disrespect
chosen
Indicates a relationship in which one entity shows a lack of respect, regard, or consideration toward another.
-
C.
discourages
Indicates an action or influence that deters, dissuades, or reduces the likelihood of someone performing a particular behavior or pursuing a certain outcome.
-
D.
disapprovedOf
Indicates that one entity holds a negative judgment or lack of approval toward another entity or that entity’s actions.
-
E.
negates
Indicates that one entity denies, contradicts, or renders false the assertion, state, or effect expressed by another.
- 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbdd89f48190b58c67cc1f7968c0 |
completed | April 21, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:47 p.m.