Triple
T27868567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lou's Cafe |
E704427
|
entity |
| Predicate | servesAsSettingFor |
P15599
|
FINISHED |
| Object | scenes involving Marty McFly |
—
|
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: scenes involving Marty McFly | Statement: [Lou's Cafe, servesAsSettingFor, scenes involving Marty McFly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesAsSettingFor Context triple: [Lou's Cafe, servesAsSettingFor, scenes involving Marty McFly]
-
A.
usedAsSettingFor
chosen
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.
knownAsSettingFor
Indicates that something is recognized or regarded as the typical or notable setting or backdrop for something else.
-
C.
associatedWithSetting
Indicates that one entity is connected or linked to a particular context, environment, or setting in which it occurs or is relevant.
-
D.
indicatedSetting
Indicates that one entity specifies, denotes, or points out a particular setting or configuration associated with another entity.
-
E.
bodyServesAsSettingFor
Indicates that a person’s or creature’s body functions as the physical environment or location in which an event, scene, 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_69ef840f12408190b539d00d79658abf |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: April 27, 2026, 6:22 p.m.