Triple
T598708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord North |
E11444
|
entity |
| Predicate | politicalAlignment |
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: [Lord North, politicalAlignment, Tory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tory Context triple: [Lord North, politicalAlignment, 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.
Spencer
Spencer is the middle name of American author and aviator Anne Spencer Lindbergh, reflecting her family’s naming tradition.
-
E.
Spencer
Spencer is a masculine given name of English origin, historically associated with roles such as steward or dispenser and borne by various notable figures.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49d776c6c819081b41a9b55041cd5 |
completed | March 1, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a51f36ab388190a418f6d4ffe91d66 |
completed | March 2, 2026, 5:25 a.m. |
Created at: March 1, 2026, 7:35 p.m.