Triple
T13003932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Linklater |
E322237
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | SubUrbia |
E183670
|
NE 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: SubUrbia | Statement: [Richard Linklater, notableWork, SubUrbia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SubUrbia Context triple: [Richard Linklater, notableWork, SubUrbia]
-
A.
SubUrbia
chosen
SubUrbia is a 1996 independent drama film directed by Richard Linklater that follows a group of aimless suburban youths confronting their futures over the course of one night.
-
B.
South Town
South Town is a fictional, crime-ridden American metropolis that serves as the primary backdrop for SNK’s Fatal Fury and related fighting game series.
-
C.
Outer City
The Outer City was the extensive outer urban area surrounding the central core of Dadu, the Yuan dynasty capital later known as Beijing.
-
D.
Green Hill Zone
Green Hill Zone is the iconic, lush first level of the original Sonic the Hedgehog game, known for its rolling hills, checkerboard terrain, and loop-de-loops.
-
E.
Streeterville
Streeterville is a vibrant neighborhood on Chicago’s Near North Side known for its lakefront attractions, high-rise buildings, and major cultural and tourist destinations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9a2a448190968833354280e474 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c107f990819093042560b1bc4473 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:47 p.m.