Triple
T2066160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Omidyar |
E45904
|
entity |
| Predicate | created |
P538
|
FINISHED |
| Object | AuctionWeb |
E7814
|
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: AuctionWeb | Statement: [Pierre Omidyar, created, AuctionWeb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AuctionWeb Context triple: [Pierre Omidyar, created, AuctionWeb]
-
A.
Manheim Auctions
Manheim Auctions is a leading wholesale vehicle auction company that facilitates the buying and selling of used cars for dealers and commercial clients across numerous locations worldwide.
-
B.
eBay
chosen
eBay is a global e-commerce company best known for its online auction and consumer-to-consumer sales platform.
-
C.
Sotheby’s
Sotheby’s is a world-renowned auction house specializing in the sale of fine art, rare collectibles, and other high-value assets.
-
D.
Tempozan Marketplace
Tempozan Marketplace is a shopping and entertainment complex in Osaka, Japan, known for its waterfront location near major attractions like the Tempozan Giant Ferris Wheel and Osaka Aquarium Kaiyukan.
-
E.
Tesla Autobidder
Tesla Autobidder is Tesla’s real-time trading and control software platform that autonomously optimizes the dispatch and market participation of energy storage assets like Megapacks.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9f0cb888190a97884f5a722d91f |
completed | March 7, 2026, 5:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2722b5048190a78978a64167cda2 |
completed | March 9, 2026, 1:49 a.m. |
Created at: March 4, 2026, 7:40 p.m.