Triple
T15099445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charity Hope Valentine |
E360622
|
entity |
| Predicate | relationshipTypeWithOscarLindquist |
P114501
|
FINISHED |
| Object | romantic interest |
—
|
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: romantic interest | Statement: [Charity Hope Valentine, relationshipTypeWithOscarLindquist, romantic interest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithOscarLindquist Context triple: [Charity Hope Valentine, relationshipTypeWithOscarLindquist, romantic interest]
-
A.
relationshipToStanley
Indicates the specific type of personal or social relationship an entity has with Stanley.
-
B.
Lincoln Lewis
Indicates a relationship or association involving the entity or name "Lincoln Lewis," such as authorship, participation, or attribution in a given context.
-
C.
relationshipToLoretta Castorini
Indicates the specific familial, romantic, or social connection that an entity has to Loretta Castorini.
-
D.
John Thornton Kirkland
Indicates a naming relationship where the label or identifier "John Thornton Kirkland" is assigned to a specific individual.
-
E.
relationshipTypeWithStephanie Ramzinski
chosen
Indicates the specific nature or category of relationship that an entity has with Stephanie Ramzinski.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054f00388190a5123d9f4a869b96 |
completed | April 15, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:04 a.m.