Triple
T1024583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Pence |
E22110
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Karen Pence |
E84115
|
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: Karen Pence | Statement: [Mike Pence, spouse, Karen Pence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Pence Context triple: [Mike Pence, spouse, Karen Pence]
-
A.
Karen Pence
chosen
Karen Pence is an American educator and watercolor artist who served as Second Lady of the United States during Mike Pence’s vice presidency.
-
B.
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.
-
C.
Mike Pence
Mike Pence is an American politician who served as the 48th vice president of the United States and former governor of Indiana.
-
D.
Ivanka Trump
Ivanka Trump is an American businesswoman, former fashion model, and political advisor who served as a senior advisor to her father, President Donald Trump, during his administration.
-
E.
Kathy Kraninger
Kathy Kraninger is an American government official who served as Director of the Consumer Financial Protection Bureau under the Trump administration.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7e28df08190b5be7794442a6f21 |
completed | March 1, 2026, 10:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c12604c8190b3ce04c96b0000f1 |
completed | March 7, 2026, 4:02 p.m. |
Created at: March 1, 2026, 7:41 p.m.