Triple
T15632673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lonesome Jim |
E375854
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Hinson |
E357895
|
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: Hinson | Statement: [Lonesome Jim, musicBy, Hinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hinson Context triple: [Lonesome Jim, musicBy, Hinson]
-
A.
Hinson
chosen
Hinson is a surname most notably associated with former professional basketball player Roy Hinson.
-
B.
Knowlton
Knowlton is an English surname borne by various notable figures, including military officers, politicians, and academics.
-
C.
Knowlton
Knowlton is a small unincorporated rural community located in Ringgold County, Iowa.
-
D.
Hawkinson
Hawkinson is a surname of likely English origin, derived as a variant of the name Hawkins.
-
E.
Harpley
Harpley is a small rural village in Norfolk, England, known for its traditional English countryside setting and historic parish church.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb7338881909f3c430bb73f91d1 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff678ebe288190bd43a72e99e7aa22 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:14 a.m.