Triple
T28212308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke (The Notebook character) |
E711205
|
entity |
| Predicate | storyLocationDescribed |
P95150
|
FINISHED |
| Object | Seabrook, South Carolina (fictionalized setting) |
—
|
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: Seabrook, South Carolina (fictionalized setting) | Statement: [Duke (The Notebook character), storyLocationDescribed, Seabrook, South Carolina (fictionalized setting)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storyLocationDescribed Context triple: [Duke (The Notebook character), storyLocationDescribed, Seabrook, South Carolina (fictionalized setting)]
-
A.
narrativeLocationType
Indicates the type or role of a location within the structure or context of a narrative (e.g., setting, origin, destination).
-
B.
placeDescribed
Indicates that one entity provides a description or account of a particular place or location.
-
C.
locationDescription
Indicates a textual description that specifies or characterizes the location of an entity.
-
D.
locationOfEventDescribed
Indicates that one entity is the place or setting where the event described by another entity occurs.
-
E.
plotLocation
chosen
Indicates the relationship between a creative work and the place or setting where its story or events occur.
- 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6645ba71c81908044ade6ab577018 |
completed | May 2, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 27, 2026, 10:40 p.m.