Triple
T23316472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AL-03 |
E590720
|
entity |
| Predicate | hasRepresentative |
P192
|
FINISHED |
| Object | Mike Rogers |
—
|
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: Mike Rogers | Statement: [AL-03, hasRepresentative, Mike Rogers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Rogers Context triple: [AL-03, hasRepresentative, Mike Rogers]
-
A.
Mike Rogers
chosen
Mike Rogers is a name shared by several prominent American politicians and public figures, including former U.S. congressmen and government officials.
-
B.
Fred Upton
Fred Upton is an American Republican politician who served for over three decades as a U.S. Representative from Michigan.
-
C.
Robert Aderholt
Robert Aderholt is a long-serving Republican member of the U.S. House of Representatives from Alabama known for his conservative positions on social and fiscal issues.
-
D.
Mike Foster
Mike Foster was a Republican politician who served as governor of Louisiana in the late 1990s and early 2000s, known for his conservative reforms and focus on education and economic development.
-
E.
Ed Royce
Ed Royce is an American Republican politician and former U.S. Representative from California who chaired the House Foreign Affairs Committee.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197816024819086c547ba89f84286 |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:06 p.m.