Triple
T26382918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gil Westrum |
E663186
|
entity |
| Predicate | appearsInTitle |
P93872
|
FINISHED |
| Object | Ride the High Country |
—
|
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: Ride the High Country | Statement: [Gil Westrum, appearsInTitle, Ride the High Country]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInTitle Context triple: [Gil Westrum, appearsInTitle, Ride the High Country]
-
A.
appearsInOriginalTitle
Indicates that an entity is mentioned or featured within the original (non-localized) title of another work or resource.
-
B.
appearsIn
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
-
C.
appearsInWorkByTitle
chosen
Indicates that an entity appears in, is featured in, or is contained within a work identified by its title.
-
D.
appearsOnTitlePageOf
Indicates that something is printed or shown on the title page of a document, book, or other published work.
-
E.
appearsInFullNameOf
Indicates that one entity (typically a string or term) occurs as a contiguous part within the complete name of another entity.
- 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 26, 2026, 11:20 p.m.