Triple
T12904842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Brnovich |
E308704
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mark Brnovich |
E308704
|
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: Mark Brnovich | Statement: [Mark Brnovich, name, Mark Brnovich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Brnovich Context triple: [Mark Brnovich, name, Mark Brnovich]
-
A.
Mark Brnovich
chosen
Mark Brnovich is an American attorney and Republican politician who served as the Attorney General of Arizona.
-
B.
Jan Brewer
Jan Brewer is an American Republican politician who served as the 22nd governor of Arizona from 2009 to 2015.
-
C.
Doug Ducey (as Governor of Arizona)
Doug Ducey is a Republican politician and former Cold Stone Creamery CEO who served as the 23rd governor of Arizona from 2015 to 2023.
-
D.
Kevin Stitt
Kevin Stitt is an American businessman and Republican politician serving as the governor of Oklahoma.
-
E.
Kevin Stitt
Kevin Stitt is a film editor best known for his work on major Hollywood productions, including the blockbuster Jurassic World.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971831bd48190b0ecd13e7181bbc6 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a565ce508190a73f33708e61dc7d |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:40 p.m.