Triple
T1905966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Duke |
E38004
|
entity |
| Predicate | exploits |
P33834
|
FINISHED |
| Object | trust of others |
—
|
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: trust of others | Statement: [The Duke, exploits, trust of others]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exploits Context triple: [The Duke, exploits, trust of others]
-
A.
exposes
Indicates making something visible, known, or vulnerable by removing cover, concealment, or protection.
-
B.
explores
Indicates actively investigating, traveling through, or examining something in order to discover or learn more about it.
-
C.
attackToolExample
Indicates that a specific tool or method is used as an example of how an attack is or can be carried out.
-
D.
expands
Indicates that one entity increases in size, volume, scope, or extent relative to a previous state or another entity.
-
E.
exposed
Indicates that one entity has been made visible, revealed, or left unprotected to another entity or to some external influence.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafe9f8b0819086d8f6288511c66d |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb34c4a64819096e12b152b84c334 |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:35 p.m.