Triple
T15502286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia's 5th congressional district |
E378989
|
entity |
| Predicate | currentRepresentative |
P537
|
FINISHED |
| Object |
Bob Good
Bob Good is a conservative Republican politician serving in the U.S. House of Representatives from Virginia.
|
E1160945
|
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 Good | Statement: [Virginia's 5th congressional district, currentRepresentative, Bob Good]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Good Context triple: [Virginia's 5th congressional district, currentRepresentative, Bob Good]
-
A.
Bill Goodwin
Bill Goodwin was an American radio and television announcer and actor best known for his work on comedy programs in the 1940s and 1950s.
-
B.
Charlie Goodson
Charlie Goodson is the hot-tempered, womanizing anger management therapist played by Charlie Sheen in the TV sitcom "Anger Management."
-
C.
John Good
John Good is a former FBI agent best known for his key role in the ABSCAM undercover corruption investigation of the late 1970s and early 1980s.
-
D.
John Goodland
John Goodland is a notable individual associated with Grand Chute, Wisconsin, recognized for his significance to the local community.
-
E.
Harry Good
Harry Good is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the surname Good.
- 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 Good Triple: [Virginia's 5th congressional district, currentRepresentative, Bob Good]
Generated description
Bob Good is a conservative Republican politician serving in the U.S. House of Representatives from Virginia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bob Good Target entity description: Bob Good is a conservative Republican politician serving in the U.S. House of Representatives from Virginia.
-
A.
Bill Goodwin
Bill Goodwin was an American radio and television announcer and actor best known for his work on comedy programs in the 1940s and 1950s.
-
B.
Charlie Goodson
Charlie Goodson is the hot-tempered, womanizing anger management therapist played by Charlie Sheen in the TV sitcom "Anger Management."
-
C.
John Good
John Good is a former FBI agent best known for his key role in the ABSCAM undercover corruption investigation of the late 1970s and early 1980s.
-
D.
John Goodland
John Goodland is a notable individual associated with Grand Chute, Wisconsin, recognized for his significance to the local community.
-
E.
Harry Good
Harry Good is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the surname Good.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcc5bb88190b8a9a81419a9a38b |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3669f908819087162b1b8a4e4320 |
completed | May 9, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ff375856448190a61979dfff751f06 |
completed | May 9, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff382f1bbc8190810d0d825430f9ea |
completed | May 9, 2026, 1:35 p.m. |
Created at: April 10, 2026, 3:54 a.m.