Triple
T14208275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House Reyne of Castamere |
E352157
|
entity |
| Predicate | influenceStatus |
P17546
|
FINISHED |
| Object | powerful vassals of House Lannister |
—
|
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: powerful vassals of House Lannister | Statement: [House Reyne of Castamere, influenceStatus, powerful vassals of House Lannister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influenceStatus Context triple: [House Reyne of Castamere, influenceStatus, powerful vassals of House Lannister]
-
A.
hasInfluentialStatus
chosen
Indicates that an entity holds a position, role, or condition that gives it significant influence or impact over others or over outcomes.
-
B.
influentialFrom
Indicates that one entity has exerted influence on another, contributing to or shaping the latter’s ideas, behavior, or development.
-
C.
typeOfInfluence
Indicates the specific nature or category of influence that one entity exerts on another.
-
D.
hasSignificantInfluenceIn
Indicates that one entity exerts a substantial impact or shaping effect on another entity within a particular domain, context, or outcome.
-
E.
influencedDiscussionOf
Indicates that one entity had an effect on the way another entity was discussed, framed, or debated.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61fa8d24819092a8ec5d34c1c799 |
completed | April 14, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69de05bcd7d48190a4848d9320404aa6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:05 a.m.