Triple
T14930940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances Dee |
E372261
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Norwalk |
E175302
|
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: Norwalk | Statement: [Frances Dee, placeOfDeath, Norwalk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norwalk Context triple: [Frances Dee, placeOfDeath, Norwalk]
-
A.
Norwalk
Norwalk is a small suburban city in central Iowa, located just south of Des Moines.
-
B.
Norwalk
Norwalk is a small city in northern Ohio that serves as the county seat of Huron County and a regional center for local history and culture.
-
C.
Norwalk
chosen
Norwalk is a coastal city in southwestern Connecticut known for its maritime heritage, harbor, and proximity to Long Island Sound.
-
D.
Norwalk
Norwalk is a suburban city in southeastern Los Angeles County, California, known as a residential community and transit hub near the eastern terminus of the Metro C Line.
-
E.
East Haven
East Haven is a coastal town in southern Connecticut, located just east of the city of New Haven along Long Island Sound.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64550dc8190ba44120df00ba498 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01d44044819088c86f46b02404ed |
completed | May 9, 2026, 9:43 a.m. |
Created at: April 10, 2026, 2:36 a.m.