Triple
T19627076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Snowden |
E471164
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Snowden |
—
|
NE NERFINISHED |
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: Snowden | Statement: [Philip Snowden, familyName, Snowden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowden Context triple: [Philip Snowden, familyName, Snowden]
-
A.
Edward Snowden
Edward Snowden is a former National Security Agency contractor who became internationally known in 2013 for leaking classified documents revealing global mass surveillance programs.
-
B.
Viscount Snowden
chosen
Viscount Snowden was the noble title granted to Philip Snowden, a prominent British Labour politician who served as the first Labour Chancellor of the Exchequer.
-
C.
Lindsay Mills Snowden
Lindsay Mills Snowden is an American acrobat and blogger best known as the longtime partner of NSA whistleblower Edward Snowden.
-
D.
Daniel Assange
Daniel Assange is the son of WikiLeaks founder Julian Assange and has occasionally drawn public attention due to his father's high-profile legal and political controversies.
-
E.
Wendy Snowden
Wendy Snowden is best known as the former wife of British satirist and comedian Peter Cook.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640eadcc48190ab5e36ddcde0c328 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.