Triple
T12622328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evan Bayh |
E301413
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object |
Dan Coats
Dan Coats is an American politician and diplomat who served as a U.S. Senator from Indiana and later as Director of National Intelligence.
|
E995938
|
NE FINISHED |
How this triple was built (4 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: Dan Coats | Statement: [Evan Bayh, precededBy, Dan Coats]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Coats Context triple: [Evan Bayh, precededBy, Dan Coats]
-
A.
Mitch Daniels
Mitch Daniels is an American politician and academic leader who served as the 49th governor of Indiana and later as president of Purdue University.
-
B.
Wendell H. Ford
Wendell H. Ford was a Democratic politician from Kentucky who served as both governor of the state and a long-serving U.S. senator.
-
C.
Tom McAuliffe
Tom McAuliffe is a notable individual recognized as a prominent bearer of the McAuliffe surname.
-
D.
Evan Bayh
Evan Bayh is a centrist Democratic politician and former U.S. senator from Indiana known for his moderate, pro-business positions within the party.
-
E.
Jim Gibbons
Jim Gibbons was an American sportscaster best known as the longtime radio voice of the Green Bay Packers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dan Coats Triple: [Evan Bayh, precededBy, Dan Coats]
Generated description
Dan Coats is an American politician and diplomat who served as a U.S. Senator from Indiana and later as Director of National Intelligence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Coats Target entity description: Dan Coats is an American politician and diplomat who served as a U.S. Senator from Indiana and later as Director of National Intelligence.
-
A.
Mitch Daniels
Mitch Daniels is an American politician and academic leader who served as the 49th governor of Indiana and later as president of Purdue University.
-
B.
Wendell H. Ford
Wendell H. Ford was a Democratic politician from Kentucky who served as both governor of the state and a long-serving U.S. senator.
-
C.
Tom McAuliffe
Tom McAuliffe is a notable individual recognized as a prominent bearer of the McAuliffe surname.
-
D.
Evan Bayh
Evan Bayh is a centrist Democratic politician and former U.S. senator from Indiana known for his moderate, pro-business positions within the party.
-
E.
Jim Gibbons
Jim Gibbons was an American sportscaster best known as the longtime radio voice of the Green Bay Packers.
- F. None of above. chosen
Provenance (5 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c8671881909a102d28b0e7f603 |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6686d770881909850ffaf820171d9 |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f66a232cec81909846400f8725aede |
completed | May 2, 2026, 9:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66b18e68881908bf79ab52bcc909e |
completed | May 2, 2026, 9:22 p.m. |
Created at: April 9, 2026, 5:14 p.m.