Triple
T13834039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weir Cook |
E332477
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Wilkinson, Indiana |
E897646
|
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: Wilkinson, Indiana | Statement: [Weir Cook, placeOfBirth, Wilkinson, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilkinson, Indiana Context triple: [Weir Cook, placeOfBirth, Wilkinson, Indiana]
-
A.
Wilkinson, Indiana
chosen
Wilkinson, Indiana is a small rural town located in Hancock County in the central part of the state.
-
B.
Loogootee, Indiana
Loogootee, Indiana is a small city in southwestern Indiana known for its tight-knit community and strong high school basketball tradition.
-
C.
Majenica, Indiana
Majenica, Indiana is an unincorporated rural community located in Huntington County in the U.S. state of Indiana.
-
D.
Larwill, Indiana
Larwill, Indiana is a small rural community located in Whitley County in the northeastern part of the state.
-
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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de029a34bc8190ae892ef7b09fc9e9 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8f234888190bd9d5d403b236105 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:13 p.m.