Triple
T13599180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Jacson |
E324898
|
entity |
| Predicate | usedToGainTrustOf |
P110242
|
FINISHED |
| Object | Leon Trotsky’s household |
—
|
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: Leon Trotsky’s household | Statement: [Frank Jacson, usedToGainTrustOf, Leon Trotsky’s household]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToGainTrustOf Context triple: [Frank Jacson, usedToGainTrustOf, Leon Trotsky’s household]
-
A.
hasReputationAmong
Indicates that an entity is regarded or perceived in a particular way by a specified group or audience.
-
B.
typeOfTrust
Indicates the specific kind or category of trust that characterizes the relationship between entities.
-
C.
confidesIn
Indicates that one entity shares private, sensitive, or personal information or feelings with another entity in trust.
-
D.
hasTrust
Indicates that one entity has confidence in the reliability, integrity, or good intentions of another entity.
-
E.
entrustedTo
Indicates that responsibility, care, or control of something has been formally given by one party to another.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0795acc8190a08667ab9dcb0d44 |
completed | April 12, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaf9f3bdc8190838539aaef1f422b |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 9, 2026, 9:49 p.m.