Triple
T19355286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy Hutchinson |
E484128
|
entity |
| Predicate | hasFather |
P1908
|
FINISHED |
| Object | Tim Hutchinson |
—
|
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: Tim Hutchinson | Statement: [Jeremy Hutchinson, hasFather, Tim Hutchinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Hutchinson Context triple: [Jeremy Hutchinson, hasFather, Tim Hutchinson]
-
A.
Tim Hutchinson
chosen
Tim Hutchinson is an American Republican politician from Arkansas who served in the U.S. House of Representatives and later as a U.S. Senator.
-
B.
Brian Berry
Brian Berry is a prominent British geographer known for his influential work in urban and regional analysis and contributions to quantitative geography.
-
C.
Roland Paxton
Roland Paxton is a British civil engineer and historian of engineering best known for his work on major bridge projects and for documenting the history of civil engineering.
-
D.
Harrell Harris
Harrell Harris is an author recognized for his written works, particularly in connection with the figure or persona known as Ego.
-
E.
Lance Briggs
Lance Briggs is a former NFL linebacker best known for his long, Pro Bowl–caliber career with the Chicago Bears.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61908920c8190833051e30ad2420c |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.