Triple
T1475832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JB Straubel |
E30838
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | JB Straubel |
E30838
|
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: JB Straubel | Statement: [JB Straubel, name, JB Straubel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JB Straubel Context triple: [JB Straubel, name, JB Straubel]
-
A.
JB Straubel
chosen
JB Straubel is an American engineer and entrepreneur best known as a co-founder and longtime chief technology officer of Tesla, where he played a key role in advancing electric vehicle and battery technologies.
-
B.
Martin Eberhard
Martin Eberhard is an American engineer and entrepreneur best known as a co-founder and early leader of the electric vehicle company Tesla.
-
C.
Elon Musk
Elon Musk is a billionaire entrepreneur and engineer best known for founding SpaceX, leading Tesla, and driving innovation in electric vehicles, space exploration, and other frontier technologies.
-
D.
Travis Kalanick
Travis Kalanick is an American entrepreneur best known as the co-founder and former CEO of the ride-hailing company Uber.
-
E.
Jim Farley
Jim Farley is an American business executive who serves as the president and chief executive officer of Ford Motor Company.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c602387c8190b97a20c8e05e3d16 |
completed | March 1, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15ab9430819094deb90436983036 |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 8:11 p.m.