Triple
T9431776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | StumbleUpon |
E227393
|
entity |
| Predicate | coFounder |
P2835
|
FINISHED |
| Object | Geoff Smith |
E800433
|
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: Geoff Smith | Statement: [StumbleUpon, coFounder, Geoff Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geoff Smith Context triple: [StumbleUpon, coFounder, Geoff Smith]
-
A.
Geoff Smith
Geoff Smith is an Australian Anglican bishop who serves as the Archbishop of Adelaide and a senior leader within the Anglican Church of Australia.
-
B.
Geoff Smith
chosen
Geoff Smith is an internet entrepreneur best known for co-founding the social discovery and recommendation platform StumbleUpon.
-
C.
Geoff Bent
Geoff Bent was an English footballer who played as a full-back for Manchester United and was one of the Busby Babes who died in the 1958 Munich air disaster.
-
D.
Geoff Carter
Geoff Carter is the daring and charismatic chief pilot who leads a risky airmail operation in the classic 1939 adventure film "Only Angels Have Wings."
-
E.
Geoffrey Dawson
Geoffrey Dawson was a British newspaper editor and influential public figure who notably served as editor of The Times during the early 20th century.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e6059bc8190a7e98aef3caabd0b |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12cd623308190ba55223399ee3aa8 |
completed | April 4, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:49 p.m.