Triple
T5549967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxwell Anderson |
E145501
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Winterset |
E211156
|
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: Winterset | Statement: [Maxwell Anderson, notableWork, Winterset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winterset Context triple: [Maxwell Anderson, notableWork, Winterset]
-
A.
Winterset, Iowa
chosen
Winterset, Iowa is a small city best known as the county seat of Madison County and the birthplace of actor John Wayne, as well as for its historic covered bridges.
-
B.
Cross Plains
Cross Plains is a small village in south-central Wisconsin that forms part of the Madison metropolitan area.
-
C.
Kanesville
Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
-
D.
Spillville
Spillville is a small historic town in northeastern Iowa, known for its Czech heritage and its connection to composer Antonín Dvořák.
-
E.
Juneautown
Juneautown was one of the original 19th-century settlements that later became part of the city of Milwaukee, Wisconsin.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe2aef481909944bc582c1f67a4 |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04cf6d9f48190a3ee3446973c7381 |
completed | March 22, 2026, 8:11 p.m. |
Created at: March 22, 2026, 3:35 p.m.