Triple
T23896931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mystic Falls, Virginia |
E600928
|
entity |
| Predicate | primarySeriesSettingFor |
P14490
|
FINISHED |
| Object | The Vampire Diaries |
—
|
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: The Vampire Diaries | Statement: [Mystic Falls, Virginia, primarySeriesSettingFor, The Vampire Diaries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySeriesSettingFor Context triple: [Mystic Falls, Virginia, primarySeriesSettingFor, The Vampire Diaries]
-
A.
primarySeries
Indicates that one entity is the main or principal sequence, set, or collection to which another entity is related or belongs.
-
B.
primarySeriesSupplied
Indicates that one entity provides or supplies the main or primary series associated with another entity.
-
C.
primarySettingOf
chosen
Indicates that a location or context serves as the main or principal setting in which an entity (such as a story, event, or activity) takes place.
-
D.
primaryFunctionInSeries
Indicates that an entity serves as the main or most important function within a particular series or sequence.
-
E.
primarySeriesHosted
Indicates that an entity serves as the main host or venue for a particular series or recurring event.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cdda39448190bdefa953e0558583 |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.