Triple
T3810175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shane Steichen |
E93112
|
entity |
| Predicate | basedIn |
P40
|
FINISHED |
| Object | Indianapolis, Indiana |
E58849
|
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: Indianapolis, Indiana | Statement: [Shane Steichen, basedIn, Indianapolis, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Indianapolis, Indiana Context triple: [Shane Steichen, basedIn, Indianapolis, Indiana]
-
A.
Indianapolis
chosen
Indianapolis is the capital and most populous city of the U.S. state of Indiana, known for its major sports franchises and hosting the annual Indianapolis 500 auto race.
-
B.
Fort Wayne, Indiana
Fort Wayne, Indiana is a major city in northeastern Indiana known as a regional economic, cultural, and manufacturing hub.
-
C.
South Bend, Indiana
South Bend, Indiana is a mid-sized city in northern Indiana known for its manufacturing heritage, proximity to the University of Notre Dame, and role as an economic and cultural hub of the region.
-
D.
Lafayette, Indiana
Lafayette, Indiana is a mid-sized city in northwestern Indiana known as a regional economic and educational hub near Purdue University.
-
E.
Terre Haute, Indiana
Terre Haute, Indiana is a mid-sized city in western Indiana known historically as a regional industrial and transportation hub along major rail and river routes.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aee80e178081908cff71223bbf6c43 |
completed | March 9, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda3f5a8a88190a494a9338c01962a |
completed | March 20, 2026, 7:45 p.m. |
Created at: March 9, 2026, 3:16 p.m.