Triple
T6459849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biz Stone |
E142089
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Biz |
E142089
|
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: Biz | Statement: [Biz Stone, hasNickname, Biz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biz Context triple: [Biz Stone, hasNickname, Biz]
-
A.
Biz
chosen
Biz is the nickname of Biz Stone, the American entrepreneur best known as a co-founder of Twitter.
-
B.
29 Business
29 Business is a special business route designation of U.S. Route 29 that serves local traffic and commercial areas rather than bypassing them.
-
C.
World Business
World Business was a publication or organization involved in international business and economic affairs, known in part for its early role in co-publishing the Global Innovation Index.
-
D.
The Business
The Business is a film featuring actor Geoff Bell in a prominent role.
-
E.
BusinessWeek
BusinessWeek is a major American business magazine known for its coverage of global markets, companies, and economic trends.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069f50ea88190af29c8c249ff2b69 |
completed | March 22, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64be1fad88190af07b7053811e3f2 |
completed | March 27, 2026, 9:20 a.m. |
Created at: March 22, 2026, 4:48 p.m.