Triple
T6279465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana DeGarmo |
E140743
|
entity |
| Predicate | hasFanBaseFrom |
P69827
|
FINISHED |
| Object | American Idol audience |
—
|
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: American Idol audience | Statement: [Diana DeGarmo, hasFanBaseFrom, American Idol audience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFanBaseFrom Context triple: [Diana DeGarmo, hasFanBaseFrom, American Idol audience]
-
A.
hasFanBaseTension
Indicates a relationship where there is conflict, rivalry, or strained relations between the fan bases of the related entities.
-
B.
hasFanBasePrimarilyIn
Indicates that an entity’s main or largest group of supporters, followers, or fans is located in a specified place or region.
-
C.
hasFanCommunity
Indicates that an entity is associated with a group of fans who actively follow, support, or engage around it.
-
D.
fanBaseRelationship
Indicates a relationship in which one party is a fan or supporter of another, typically involving admiration, following, or dedicated interest.
-
E.
fanBase
Indicates that one entity is the group of admirers or supporters devoted to another entity.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063dc55d48190b5ed48a50f3a742e |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c05608a5608190b22a1fdc4060470d |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c05b37ac1881909e947822490ba4f2 |
completed | March 22, 2026, 9:12 p.m. |
Created at: March 22, 2026, 4:26 p.m.