Triple
T6375481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama Hills National Scenic Area |
E143454
|
entity |
| Predicate | filmHistory |
P70260
|
FINISHED |
| Object | location for classic Western movies |
—
|
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: location for classic Western movies | Statement: [Alabama Hills National Scenic Area, filmHistory, location for classic Western movies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmHistory Context triple: [Alabama Hills National Scenic Area, filmHistory, location for classic Western movies]
-
A.
inFilmMusicHistory
Indicates that something plays a role or is featured within the historical development or context of film music.
-
B.
filmEra
Indicates the historical or stylistic period in which a film was produced or to which its cinematic style belongs.
-
C.
filmStudioEra
Indicates the historical period or era during which a particular film studio was active or most influential.
-
D.
filmBase
Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
-
E.
film
Indicates that an entity is a movie or cinematic work, or that a relationship involves such a movie.
- 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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0683bfc7081908b15c3c9a3c72e7b |
completed | March 22, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69c060ee055081908c79a1d151bd74cd |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623d23448190a75cf5d802fc0a02 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:33 p.m.