Triple
T10677044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Sellers |
E251646
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sellers |
E474247
|
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: Sellers | Statement: [Peter Sellers, familyName, Sellers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sellers Context triple: [Peter Sellers, familyName, Sellers]
-
A.
Sellers
chosen
Sellers is the surname of Piers Sellers, the British-American NASA astronaut and climate scientist.
-
B.
Sellin
Sellin is a seaside resort town on the German island of Rügen, known for its historic pier and Baltic Sea beaches.
-
C.
Outsell
Outsell is a company that was acquired by customer service software provider Zendesk, likely offering technology or services that complemented Zendesk’s customer support and engagement solutions.
-
D.
Amazon
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.
-
E.
Amazon
Amazon is the small sailing boat featured in Arthur Ransome’s children’s novel "Swallows and Amazons," crewed by the adventurous Blackett sisters.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fb9563908190a69cf4bd2c24fd2f |
completed | April 9, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9887e974c81908c4943339ea9a93f |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:09 p.m.