Triple
T21287710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Pence |
E524704
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pence |
—
|
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: Pence | Statement: [Greg Pence, familyName, Pence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pence Context triple: [Greg Pence, familyName, Pence]
-
A.
Pence
chosen
Pence is a surname most prominently associated with former U.S. Vice President Mike Pence and his family, including writer Charlotte Pence.
-
B.
Mike Pence
Mike Pence is an American politician who served as the 48th vice president of the United States and former governor of Indiana.
-
C.
Greg Pence
Greg Pence is an American Republican politician and businessman serving as the U.S. Representative for Indiana’s 6th congressional district and is the older brother of former Vice President Mike Pence.
-
D.
Bill Pence
Bill Pence was an American film executive and co-founder of the influential Telluride Film Festival, known for shaping the landscape of international film exhibition and appreciation.
-
E.
Rubio
Rubio is a Spanish professional basketball player known for his exceptional playmaking and court vision as an NBA point guard.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d7c57c8190bc4180ea590a62d4 |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.