Triple
T17294481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy Richard Streynsham Hunt |
E419869
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jeremy Richard Streynsham Hunt |
E419869
|
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: Jeremy Richard Streynsham Hunt | Statement: [Jeremy Richard Streynsham Hunt, name, Jeremy Richard Streynsham Hunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Richard Streynsham Hunt Context triple: [Jeremy Richard Streynsham Hunt, name, Jeremy Richard Streynsham Hunt]
-
A.
Jeremy Richard Streynsham Hunt
chosen
Jeremy Richard Streynsham Hunt is a British Conservative Party politician who has served in several senior government roles, including as UK Foreign Secretary and Chancellor of the Exchequer.
-
B.
Jonathan Hunt
Jonathan Hunt was a prominent early 19th-century American politician and lawyer from Vermont who served multiple terms in the U.S. House of Representatives.
-
C.
Nicholas Hunt
Nicholas Hunt is a British figure best known as the father of UK Conservative politician and former Foreign Secretary Jeremy Hunt.
-
D.
Jonathan J. Hunt
Jonathan J. Hunt is a researcher in machine learning and control who is credited with introducing the Deep Deterministic Policy Gradient (DDPG) algorithm for continuous action reinforcement learning.
-
E.
Hugh Huntley
Hugh Huntley was an actor known for his role in the early 1930s film "Crashing Towers."
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e437869ec08190b4a63fb1ee6a71ee |
completed | April 19, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180d66bb8819086eb2c72b4dcbafb |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:40 a.m.