Triple
T5102242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marc Tarpenning |
E115006
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tarpenning |
E115006
|
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: Tarpenning | Statement: [Marc Tarpenning, familyName, Tarpenning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarpenning Context triple: [Marc Tarpenning, familyName, Tarpenning]
-
A.
Tarpenning
chosen
Tarpenning is the surname of Marc Tarpenning, an American engineer and entrepreneur best known as a co-founder of Tesla Motors.
-
B.
Tealing
Tealing is a small rural village in eastern Scotland, situated in the Angus council area just north of Dundee.
-
C.
Schuttrange
Schuttrange is a small commune and town in southeastern Luxembourg, situated in the canton of Luxembourg near the country's capital.
-
D.
Rycken
Rycken is a Dutch-origin surname historically borne by families such as that of Abraham Rycken in the Low Countries and early colonial America.
-
E.
Rammenau
Rammenau is a village in Saxony, Germany, best known as the birthplace of the influential German philosopher Johann Gottlieb Fichte.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7586a4a08190866aea6be625837c |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba9106ec8190839a7de183efa359 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:41 p.m.