Triple
T35192669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bronson Alcott High School |
E1016161
|
entity |
| Predicate | usedAsPrimarySettingFor |
P14490
|
FINISHED |
| Object | school scenes in Clueless |
—
|
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: school scenes in Clueless | Statement: [Bronson Alcott High School, usedAsPrimarySettingFor, school scenes in Clueless]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsPrimarySettingFor Context triple: [Bronson Alcott High School, usedAsPrimarySettingFor, school scenes in Clueless]
-
A.
usedAsSettingFor
Indicates that one entity serves as the backdrop, location, or environment in which another entity (such as an event, story, or activity) takes place.
-
B.
isPrimarilyUsedAs
Indicates that one entity serves mainly or most commonly in the role, function, or purpose specified by the other entity.
-
C.
isPrimarySetFor
Indicates that one entity is designated as the main or default set associated with another entity.
-
D.
usedInPrimary
Indicates that something serves as the main or principal context, setting, or application in which another thing is used.
-
E.
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.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe7bfc94bc81909eeec946e8c1c450 |
completed | May 9, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69fe7b74a1188190886f128e07f712da |
completed | May 9, 2026, 12:10 a.m. |
Created at: May 3, 2026, 4:02 p.m.