Triple
T31020516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apostle of the Europeans |
E790440
|
entity |
| Predicate | associatedWithPersonType |
P207335
|
FINISHED |
| Object | Irish missionary monk |
—
|
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: Irish missionary monk | Statement: [Apostle of the Europeans, associatedWithPersonType, Irish missionary monk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPersonType Context triple: [Apostle of the Europeans, associatedWithPersonType, Irish missionary monk]
-
A.
associatedWithRelationship
Indicates a general connection or involvement between entities through some form of relationship, without specifying its exact nature.
-
B.
appliesToPersonType
Indicates that something (such as a rule, condition, or attribute) is relevant or applicable specifically to a certain type or category of person.
-
C.
associatedWithAuthorType
Indicates that one entity has a specified type of association or role in relation to an author.
-
D.
associatedPersonField
Indicates that there is a person linked or connected to the subject in a relevant or contextual way.
-
E.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
- 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_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 29, 2026, 8:58 p.m.