Triple
T38610525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brutus Jones |
E934464
|
entity |
| Predicate | powerThemeEmbodied |
P157293
|
FINISHED |
| Object | corrupting influence of absolute power |
—
|
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: corrupting influence of absolute power | Statement: [Brutus Jones, powerThemeEmbodied, corrupting influence of absolute power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerThemeEmbodied Context triple: [Brutus Jones, powerThemeEmbodied, corrupting influence of absolute power]
-
A.
powerTheme
chosen
Indicates a thematic relationship where one entity’s power, control, or dominance over another is a central focus or organizing concept.
-
B.
abilityTheme
Indicates that an entity possesses, embodies, or is characterized by a particular ability or capability.
-
C.
powersType
Indicates that one entity has a specific type or category of power or ability in relation to another entity.
-
D.
powersFeature
Indicates that one entity provides the underlying functionality or capability that enables a particular feature of another entity.
-
E.
powerPosition
Indicates that one entity holds a position of authority, control, or dominance over another within a hierarchy or power structure.
- 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_69f76eccd6d081909ccce171011739a1 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: May 3, 2026, 4:32 p.m.