Triple
T12455764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clifford trust doctrine |
E297653
|
entity |
| Predicate | relevantFactor |
P90033
|
FINISHED |
| Object | short duration of trust |
—
|
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: short duration of trust | Statement: [Clifford trust doctrine, relevantFactor, short duration of trust]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relevantFactor Context triple: [Clifford trust doctrine, relevantFactor, short duration of trust]
-
A.
considersFactor
Indicates that one entity takes another entity into account as a factor when forming a judgment, decision, or evaluation.
-
B.
thirdFactor
Indicates that an entity serves as the third factor or element in a multi-factor relationship, typically complementing two other primary factors in a given context.
-
C.
factor
chosen
Indicates that one entity is a contributing cause, influence, or component affecting the state, outcome, or existence of another entity.
-
D.
riskFactorTypeStudied
Indicates that a particular type of risk factor is the subject of study or analysis in a given context.
-
E.
relatedField
Indicates that one field, topic, or area of study is connected or relevant to another in subject matter or application.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95151e7348190a1d4953a8b416a13 |
completed | April 10, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69d94d3c27a08190a0237200203e476d |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.