Triple
T34993194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Nelson |
E1009448
|
entity |
| Predicate | associatedForeignState |
P156260
|
FINISHED |
| Object | Kingdom of Sicily |
E14824
|
NE 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: Kingdom of Sicily | Statement: [Earl Nelson, associatedForeignState, Kingdom of Sicily]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedForeignState Context triple: [Earl Nelson, associatedForeignState, Kingdom of Sicily]
-
A.
associatedState
Indicates that one entity is linked or connected to a particular state, condition, or status of another entity.
-
B.
associatedWithForeignRelations
chosen
Indicates a relationship in which an entity is involved in, connected to, or has responsibilities concerning the management or conduct of foreign relations between states or international actors.
-
C.
associatedThrough
Indicates that two entities are connected or related to each other by means of a specified intermediary, context, or linkage.
-
D.
foreignRelation
Indicates that there exists a diplomatic or international relationship between one entity and another entity from a different country or jurisdiction.
-
E.
alsoFromState
Indicates that two entities originate from, are associated with, or come from the same state or region.
- F. None of above.
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_69f76dca50dc8190b71f39defe186be8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37bd0a224c81909ef66b861ab2b98c |
completed | June 21, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.