Triple
T33727631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freddie Borden |
E864186
|
entity |
| Predicate | sharesRelationshipsWith |
P175131
|
FINISHED |
| Object | Alfred Borden |
—
|
NE NERFINISHED |
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: Alfred Borden | Statement: [Freddie Borden, sharesRelationshipsWith, Alfred Borden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesRelationshipsWith Context triple: [Freddie Borden, sharesRelationshipsWith, Alfred Borden]
-
A.
socialRelations
Indicates a relationship in which entities are connected through social ties, interactions, or roles within a social context.
-
B.
sharesNotableAssociationWith
Indicates a mutual, noteworthy connection or linkage between two entities that is significant enough to be recognized or highlighted.
-
C.
haveRelationshipWith
chosen
Indicates that one entity is in some form of defined relationship or association with another entity.
-
D.
addressesRelationship
Indicates that one entity directs communication, remarks, or attention specifically toward another entity.
-
E.
externalRelations
Indicates that an entity has relationships, interactions, or connections with entities outside its own immediate group, system, or organization.
- 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ffbe9e47688190a2692566dc326646 |
completed | May 9, 2026, 11:09 p.m. |
| PD | Predicate disambiguation | batch_69ffbb7b45388190b62cbde5c2d435cd |
completed | May 9, 2026, 10:55 p.m. |
Created at: May 1, 2026, 1:44 a.m.