Triple
T19809818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Overholt |
E475912
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Overholser |
—
|
NE NERFINISHED |
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: Overholser | Statement: [Overholt, hasVariant, Overholser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Overholser Context triple: [Overholt, hasVariant, Overholser]
-
A.
Overholser
chosen
Overholser is a surname of likely Germanic origin, closely related to the surname Oberholtzer.
-
B.
Somerhalder
Somerhalder is the surname of American actor, director, and environmental activist Ian Somerhalder, best known for his role in the television series "The Vampire Diaries."
-
C.
Horsterwold
Horsterwold is one of the largest continuous deciduous forests in the Netherlands, known for its rich wildlife and extensive network of walking and cycling trails.
-
D.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
E.
Hunte
The Hunte is a river in northwestern Germany that flows through Lower Saxony before joining the Weser.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6542ac1b48190a0cb69dbceca74da |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:50 p.m.