Triple
T13541010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hillary Whitney |
E323384
|
entity |
| Predicate | primaryRelationshipFocus |
P46761
|
FINISHED |
| Object | friendship with CC Bloom |
—
|
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: friendship with CC Bloom | Statement: [Hillary Whitney, primaryRelationshipFocus, friendship with CC Bloom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRelationshipFocus Context triple: [Hillary Whitney, primaryRelationshipFocus, friendship with CC Bloom]
-
A.
relationshipFocus
chosen
Indicates a relationship where particular attention, priority, or emphasis is placed on the connection between two or more entities.
-
B.
primaryFamily
Indicates that one entity is the main or principal family unit to which another entity is most closely or formally associated.
-
C.
primaryInteraction
Indicates the main or most significant interaction occurring between the involved entities.
-
D.
primaryEngagement
Indicates the main or most significant interaction, involvement, or relationship that an entity has with another entity or activity.
-
E.
basisOfRelationship
Indicates that one entity serves as the foundational reason, cause, or justification for the relationship that exists between two or more entities.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd8ba10819098faadcc6adf251e |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.