Triple
T146432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | xAI |
E3339
|
entity |
| Predicate | recruitsFrom |
P1705
|
FINISHED |
| Object | Tesla |
E3005
|
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: Tesla | Statement: [xAI, recruitsFrom, Tesla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tesla Context triple: [xAI, recruitsFrom, Tesla]
-
A.
Tesla
Tesla is a renowned Serbian-American inventor, electrical engineer, and futurist best known for his pioneering work on alternating current (AC) power systems and numerous innovations in electromagnetism.
-
B.
Tesla, Inc.
chosen
Tesla, Inc. is an American electric vehicle and clean energy company known for pioneering mass-market electric cars, advanced battery technology, and autonomous driving innovations.
-
C.
Tesla Semi
The Tesla Semi is an all-electric Class 8 semi-truck designed to offer high efficiency, long range, and lower operating costs compared to traditional diesel trucks.
-
D.
Tesla Model S
The Tesla Model S is a luxury all-electric sedan known for its long range, high performance, and role in popularizing mainstream electric vehicles.
-
E.
Tesla Roadster
The Tesla Roadster is an all-electric sports car that marked Tesla’s debut in the automotive market and helped popularize high-performance electric vehicles.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a257eba6188190a3cf99c91bf3038f |
completed | Feb. 28, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2c2763ce481908c12046de9003a84 |
completed | Feb. 28, 2026, 10:24 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.