Triple
T447027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Strachan |
E7043
|
entity |
| Predicate | ideology |
P496
|
FINISHED |
| Object | Tory |
E16790
|
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: Tory | Statement: [John Strachan, ideology, Tory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tory Context triple: [John Strachan, ideology, Tory]
-
A.
Tory
chosen
Tory refers to a historical British political faction and later party associated with conservatism, monarchy, and traditional institutions, which evolved into the modern Conservative Party.
-
B.
Keir
Keir is a masculine given name most prominently associated with British politician Keir Starmer, the leader of the UK Labour Party and Prime Minister of the United Kingdom.
-
C.
Tyler
Tyler is the officer in a Masonic lodge responsible for guarding the entrance and ensuring only qualified individuals are admitted to meetings.
-
D.
Graham
Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
-
E.
Julian Amery
Julian Amery was a prominent British Conservative politician and minister known for his roles in defense and colonial affairs during the mid-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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef62c7a88190851fcd57658b4102 |
completed | Feb. 28, 2026, 1:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a442a6abac81909f23975fabd7e90a |
completed | March 1, 2026, 1:44 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.