Triple
T8947074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cobie Smulders |
E213245
|
entity |
| Predicate | appearedInTVSeries |
P795
|
FINISHED |
| Object | Stumptown |
E768406
|
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: Stumptown | Statement: [Cobie Smulders, appearedInTVSeries, Stumptown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stumptown Context triple: [Cobie Smulders, appearedInTVSeries, Stumptown]
-
A.
Stumptown
Stumptown is a historic nickname for Portland, Oregon, referencing the city’s rapid 19th-century growth that left tree stumps scattered throughout the area.
-
B.
Stumptown
chosen
Stumptown is a television crime drama series based on the graphic novel of the same name, following a sharp-witted military veteran turned private investigator in Portland, Oregon.
-
C.
L-Town
L-Town is a colloquial nickname for Lansing, the capital city of the U.S. state of Michigan.
-
D.
The Outfit
The Outfit is a 2022 crime thriller film centered on a meticulous English tailor in Chicago who becomes entangled with dangerous mobsters over the course of a tense night.
-
E.
B-Town
B-Town is a common nickname for Bloomington, Indiana, a vibrant Midwestern college city best known as the home of Indiana University.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66deb8ec819087a9c5eddd24c08a |
completed | April 1, 2026, 12:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc93c678c81909d2ab68308d7c2f0 |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:59 p.m.