Triple
T22086032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawley |
E545778
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Josh Hawley |
—
|
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: Josh Hawley | Statement: [Hawley, hasNotableBearer, Josh Hawley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Hawley Context triple: [Hawley, hasNotableBearer, Josh Hawley]
-
A.
Josh Hawley
chosen
Josh Hawley is a conservative American politician and lawyer serving as the junior United States senator from Missouri.
-
B.
Mark Hawley
Mark Hawley is a British sound engineer and record producer best known for his long-term collaboration with and marriage to musician Tori Amos.
-
C.
Tim Scott
Tim Scott is a U.S. Senator from South Carolina known for his conservative politics and historic role as one of the most prominent Black Republicans in Congress.
-
D.
Richard Hudson
Richard Hudson is the child of Katherine Hudson, known primarily in relation to her.
-
E.
Ben Sasse
Ben Sasse is an American academic and politician who served as a U.S. Senator from Nebraska before becoming president of the University of Florida.
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128ba24ac819082fc4aa274553481 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.