Triple
T18805567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mia Warren |
E459864
|
entity |
| Predicate | movesTo |
P42451
|
FINISHED |
| Object | Shaker Heights |
—
|
NE NERFINISHED |
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: Shaker Heights | Statement: [Mia Warren, movesTo, Shaker Heights]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shaker Heights Context triple: [Mia Warren, movesTo, Shaker Heights]
-
A.
Shaker Heights
chosen
Shaker Heights is an affluent, historically planned suburban city located on the eastern side of Cleveland in northeastern Ohio.
-
B.
Garfield Heights
Garfield Heights is a suburban city located southeast of downtown Cleveland in northeastern Ohio.
-
C.
Cleveland Heights
Cleveland Heights is an inner-ring suburban city of Cleveland in northeastern Ohio, known for its historic neighborhoods, cultural diversity, and vibrant arts and dining scenes.
-
D.
Beachwood
Beachwood is a suburban city in Cuyahoga County, Ohio, known for its upscale shopping, business centers, and proximity to Cleveland.
-
E.
Greenhills, Ohio
Greenhills, Ohio is a planned New Deal-era "greenbelt" community near Cincinnati, developed in the 1930s as a model suburban town with integrated green spaces and community facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3d6d5e081909d8285e52cb753ba |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.