Triple
T2047509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Kerrey |
E45486
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Henry Kerrey
Henry Kerrey is the son of former Nebraska governor and U.S. senator Bob Kerrey.
|
E228214
|
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: Henry Kerrey | Statement: [Bob Kerrey, hasChild, Henry Kerrey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Kerrey Context triple: [Bob Kerrey, hasChild, Henry Kerrey]
-
A.
Bob Kerrey
Bob Kerrey is a former U.S. senator from Nebraska and Vietnam War Medal of Honor recipient who later served on the 9/11 Commission.
-
B.
John M. Erickson
John M. Erickson is an American local politician who serves as the mayor of West Hollywood, California.
-
C.
Lance Gooden
Lance Gooden is a Republican U.S. Representative from Texas known for his conservative positions on immigration, law enforcement, and fiscal policy.
-
D.
Frederic J. Brown Jr.
Frederic J. Brown Jr. was a United States Army general best known for his leadership in the Korean War, particularly during the Battle of Heartbreak Ridge.
-
E.
John Tower
John Tower was a prominent Republican U.S. Senator from Texas known for his influential roles in defense policy and intelligence oversight during the Cold War era.
- 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: Henry Kerrey Triple: [Bob Kerrey, hasChild, Henry Kerrey]
Generated description
Henry Kerrey is the son of former Nebraska governor and U.S. senator Bob Kerrey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Henry Kerrey Target entity description: Henry Kerrey is the son of former Nebraska governor and U.S. senator Bob Kerrey.
-
A.
Bob Kerrey
Bob Kerrey is a former U.S. senator from Nebraska and Vietnam War Medal of Honor recipient who later served on the 9/11 Commission.
-
B.
John M. Erickson
John M. Erickson is an American local politician who serves as the mayor of West Hollywood, California.
-
C.
Lance Gooden
Lance Gooden is a Republican U.S. Representative from Texas known for his conservative positions on immigration, law enforcement, and fiscal policy.
-
D.
Frederic J. Brown Jr.
Frederic J. Brown Jr. was a United States Army general best known for his leadership in the Korean War, particularly during the Battle of Heartbreak Ridge.
-
E.
John Tower
John Tower was a prominent Republican U.S. Senator from Texas known for his influential roles in defense policy and intelligence oversight during the Cold War era.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb974e8488190887b840c2cb88b3a |
completed | March 7, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2003e9488190b54ff042c91d4a62 |
completed | March 9, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69ae209544d881909438630ca5970d84 |
completed | March 9, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae210b7b888190a879effa9d1e6ac3 |
completed | March 9, 2026, 1:23 a.m. |
Created at: March 4, 2026, 7:39 p.m.