Triple
T7325270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JB Straubel |
E168854
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Straubel |
E168854
|
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: Straubel | Statement: [JB Straubel, familyName, Straubel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Straubel Context triple: [JB Straubel, familyName, Straubel]
-
A.
Straubel
chosen
Straubel is a surname most prominently associated with JB Straubel, the co-founder and former Chief Technology Officer of Tesla, Inc.
-
B.
Stradner
Stradner is a surname most notably associated with Austrian-American actress Rosa Stradner.
-
C.
Strelsau
Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
-
D.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
E.
Straussler
Straussler is the original family name of the Czech-born British playwright Tom Stoppard, reflecting his Central European Jewish heritage before his later adoption and name change.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f04993408190b73fb46d83a632d5 |
completed | March 27, 2026, 9:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef0a1200819089fe3e18493d8bee |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3:03 p.m.