Triple
T9183689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naperville, Illinois |
E220397
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Joseph Naper |
E220397
|
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: Joseph Naper | Statement: [Naperville, Illinois, namedAfter, Joseph Naper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Naper Context triple: [Naperville, Illinois, namedAfter, Joseph Naper]
-
A.
Joseph Naper
chosen
Joseph Naper was a 19th-century pioneer, land surveyor, and politician who founded the settlement that grew into the city of Naperville, Illinois.
-
B.
William Tharp
William Tharp was a 19th-century American politician who served as the 36th Governor of Delaware.
-
C.
William Demarest
William Demarest was an American character actor best known for his roles in numerous Hollywood films and the television series "My Three Sons."
-
D.
William Smith Jewett
William Smith Jewett was a 19th-century American painter known for his portraits and genre scenes.
-
E.
Canby Judd
Canby Judd is a fictional character appearing in the 1955 aviation drama film "Top Gun."
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc31734908190b8ebe3b57849ca5f |
completed | April 1, 2026, 7:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c1474a08190aa3e3e90326a20d1 |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:24 p.m.