Triple
T14680611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woody Boyd |
E344770
|
entity |
| Predicate | hometown |
P22139
|
FINISHED |
| Object | Hanover, Indiana |
E543776
|
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: Hanover, Indiana | Statement: [Woody Boyd, hometown, Hanover, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanover, Indiana Context triple: [Woody Boyd, hometown, Hanover, Indiana]
-
A.
Hanover, Indiana
chosen
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.
-
B.
New Haven, Indiana
New Haven, Indiana is a small city in Allen County known as a residential and industrial community just east of Fort Wayne.
-
C.
Brownsville, Indiana
Brownsville, Indiana is a small unincorporated community located in rural Union County in the eastern part of the state.
-
D.
Fairmount, Indiana
Fairmount, Indiana is a small Midwestern town best known as the childhood home and burial place of actor James Dean.
-
E.
Rochester, Indiana
Rochester, Indiana is a small city in Fulton County that serves as the county seat and a local hub for the surrounding rural region in northern Indiana.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5692284819090f775be8e478522 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb7e71d8819089912376346bbd9f |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.