Triple
T9321990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Hunt |
E224289
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jonathan Hunt |
E224289
|
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: Jonathan Hunt | Statement: [Jonathan Hunt, name, Jonathan Hunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Hunt Context triple: [Jonathan Hunt, name, Jonathan Hunt]
-
A.
Jonathan Hunt
chosen
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.
-
B.
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.
-
C.
Dan Hunt
Dan Hunt is an American soccer executive and co-owner of FC Dallas, known for leading the Major League Soccer club founded by his family.
-
D.
Ian Hallard
Ian Hallard is a British actor and writer known for his work in television, theatre, and radio, as well as for his collaborations with his husband, writer-actor Mark Gatiss.
-
E.
Christopher Gunning
Christopher Gunning was a British composer best known for his film and television scores, including the iconic theme for the detective series "Poirot."
- 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd36f2bd288190bb1556a88d9e90f3 |
completed | April 1, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14bd5c89081909533dbfc9f82016d |
completed | April 4, 2026, 5:35 p.m. |
Created at: March 30, 2026, 7:38 p.m.