Triple
T9606891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trey Gowdy |
E231993
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object |
Bob Inglis
Bob Inglis is an American Republican politician and former U.S. Representative from South Carolina known for his advocacy of free-market solutions to climate change.
|
E809928
|
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: Bob Inglis | Statement: [Trey Gowdy, precededBy, Bob Inglis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Inglis Context triple: [Trey Gowdy, precededBy, Bob Inglis]
-
A.
Ralph Norman
Ralph Norman is a Republican politician and businessman serving as the U.S. Representative for South Carolina's 5th congressional district.
-
B.
Richard Hudson
Richard Hudson is the child of Katherine Hudson, known primarily in relation to her.
-
C.
Stephen R. Gregg
Stephen R. Gregg was a decorated American soldier and Medal of Honor recipient from World War II.
-
D.
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.
-
E.
Tim Scott
Tim Scott is a U.S. Senator from South Carolina known for his conservative politics and historic role as one of the most prominent Black Republicans in Congress.
- 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: Bob Inglis Triple: [Trey Gowdy, precededBy, Bob Inglis]
Generated description
Bob Inglis is an American Republican politician and former U.S. Representative from South Carolina known for his advocacy of free-market solutions to climate change.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bob Inglis Target entity description: Bob Inglis is an American Republican politician and former U.S. Representative from South Carolina known for his advocacy of free-market solutions to climate change.
-
A.
Ralph Norman
Ralph Norman is a Republican politician and businessman serving as the U.S. Representative for South Carolina's 5th congressional district.
-
B.
Richard Hudson
Richard Hudson is the child of Katherine Hudson, known primarily in relation to her.
-
C.
Stephen R. Gregg
Stephen R. Gregg was a decorated American soldier and Medal of Honor recipient from World War II.
-
D.
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.
-
E.
Tim Scott
Tim Scott is a U.S. Senator from South Carolina known for his conservative politics and historic role as one of the most prominent Black Republicans in Congress.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a62372881908bf21be91e7285fb |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d17942504481908e7147a0f56bdf96 |
completed | April 4, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_69d17a27596081909c6a2ec486480ce1 |
completed | April 4, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17af1d1b48190b6f8350edfa4f5ef |
completed | April 4, 2026, 8:56 p.m. |
Created at: March 30, 2026, 8:08 p.m.