Triple
T28904539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Charrington |
E733036
|
entity |
| Predicate | trustGainedFrom |
P143207
|
FINISHED |
| Object | Winston Smith |
—
|
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: Winston Smith | Statement: [Mr. Charrington, trustGainedFrom, Winston Smith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trustGainedFrom Context triple: [Mr. Charrington, trustGainedFrom, Winston Smith]
-
A.
usedToGainTrustOf
Indicates that something is employed as a means or strategy to build or increase another party’s trust.
-
B.
gainsTrustOf
chosen
Indicates that one entity comes to be regarded as trustworthy by another entity, earning that other entity’s confidence or reliance.
-
C.
trustModel
Indicates that one entity relies on or has confidence in the reliability, integrity, or performance of another entity or system.
-
D.
typeOfTrust
Indicates the specific kind or category of trust that characterizes the relationship between entities.
-
E.
hasTrust
Indicates that one entity has confidence in the reliability, integrity, or good intentions of 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65ad948748190abe57197575a19dc |
completed | May 2, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 8:05 a.m.