Triple
T8005198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger McNamee |
E186346
|
entity |
| Predicate | earlyInvestorIn |
P23259
|
FINISHED |
| Object | Amazon |
E4942
|
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: Amazon | Statement: [Roger McNamee, earlyInvestorIn, Amazon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amazon Context triple: [Roger McNamee, earlyInvestorIn, Amazon]
-
A.
Amazon
Amazon is the small sailing boat featured in Arthur Ransome’s children’s novel "Swallows and Amazons," crewed by the adventurous Blackett sisters.
-
B.
Amazon
chosen
Amazon is a multinational technology and e-commerce company best known for its vast online marketplace, cloud computing services through AWS, and significant influence on global retail and logistics.
-
C.
Amazon Prime
Amazon Prime is a subscription service from Amazon that offers members benefits like fast shipping, streaming video and music, and access to exclusive deals.
-
D.
Amazon Air
Amazon Air is the cargo airline division of Amazon that operates a dedicated air network to expedite the company’s package delivery across the United States and internationally.
-
E.
Jet.com
Jet.com was an American e-commerce company known for its dynamic pricing model and rapid growth as a Walmart-acquired online retail platform.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf5fb588190ada4ec7d8087619c |
completed | March 31, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5697ac9081909fe7ca06d0c3ef38 |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:18 p.m.