Triple
T8958990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Byers |
E213550
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Hawkins, Indiana |
E112803
|
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: Hawkins, Indiana | Statement: [Jonathan Byers, residence, Hawkins, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hawkins, Indiana Context triple: [Jonathan Byers, residence, Hawkins, Indiana]
-
A.
Hawkins, Indiana
chosen
Hawkins, Indiana is the fictional small Midwestern town where the supernatural events and government conspiracies of the Netflix series "Stranger Things" unfold.
-
B.
Hanover, Indiana
Hanover, Indiana is a small town in southeastern Indiana best known as the home of Hanover College, a private liberal arts institution overlooking the Ohio River.
-
C.
St. John, Indiana
St. John, Indiana is a suburban town in Lake County known for its residential communities, good schools, and proximity to the Chicago metropolitan area.
-
D.
Harlan, Indiana
Harlan, Indiana is a small unincorporated community in northeastern Indiana located near the city of Fort Wayne.
-
E.
Wanatah, Indiana
Wanatah, Indiana is a small town in northwestern Indiana known for its rural character and annual fall harvest festival.
- 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc672b12b48190a9d964f79b96d237 |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb3680f88190a977ac4c103423f2 |
completed | April 3, 2026, 4:30 p.m. |
Created at: March 30, 2026, 7 p.m.