Triple
T20294957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To Venus and Back |
E510121
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Mark 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: Mark Hawley | Statement: [To Venus and Back, producer, Mark Hawley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Hawley Context triple: [To Venus and Back, producer, Mark Hawley]
-
A.
Mark Hawley
chosen
Mark Hawley is a British sound engineer and record producer best known for his long-term collaboration with and marriage to musician Tori Amos.
-
B.
Markwayne Mullin
Markwayne Mullin is a Republican politician and former U.S. Representative from Oklahoma who now serves as a U.S. Senator for the state.
-
C.
Asa Hutchinson
Asa Hutchinson is an American politician and attorney who served as the 46th governor of Arkansas and was a candidate for the 2024 Republican presidential nomination.
-
D.
Josh Hawley
Josh Hawley is a conservative American politician and lawyer serving as the junior United States senator from Missouri.
-
E.
Sonny Perdue
Sonny Perdue is an American politician and former Governor of Georgia who served as the U.S. Secretary of Agriculture under President Donald Trump.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6770714c4819080e3256325747ebf |
completed | April 20, 2026, 6:57 p.m. |
Created at: April 16, 2026, 11:13 a.m.