Triple
T18322878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Crapo |
E438927
|
entity |
| Predicate | succeededBy |
P78
|
FINISHED |
| Object |
Jim Gibbons
Jim Gibbons is an American politician best known for serving as the governor of Nevada and previously as a U.S. Representative.
|
E1318857
|
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: Jim Gibbons | Statement: [Mike Crapo, succeededBy, Jim Gibbons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Gibbons Context triple: [Mike Crapo, succeededBy, Jim Gibbons]
-
A.
Jim Gibbons
Jim Gibbons was an American sportscaster best known as the longtime radio voice of the Green Bay Packers.
-
B.
Tom Gibbons
Tom Gibbons is a theatre sound designer known for his work on major stage productions, including a notable contribution to "All About Eve."
-
C.
Kevin Maurice Johnson
Kevin Maurice Johnson is a former NBA All-Star point guard who became the mayor of Sacramento, California.
-
D.
Michael Cavanagh
Michael Cavanagh is an Australian drummer best known for his work with the psychedelic rock band King Gizzard & the Lizard Wizard.
-
E.
Joseph L. Roberts Jr.
Joseph L. Roberts Jr. was a prominent American pastor and theologian best known for his long tenure leading Atlanta’s historic Ebenezer Baptist Church after the era of Martin Luther King Jr.
- 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: Jim Gibbons Triple: [Mike Crapo, succeededBy, Jim Gibbons]
Generated description
Jim Gibbons is an American politician best known for serving as the governor of Nevada and previously as a U.S. Representative.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jim Gibbons Target entity description: Jim Gibbons is an American politician best known for serving as the governor of Nevada and previously as a U.S. Representative.
-
A.
Jim Gibbons
Jim Gibbons was an American sportscaster best known as the longtime radio voice of the Green Bay Packers.
-
B.
Tom Gibbons
Tom Gibbons is a theatre sound designer known for his work on major stage productions, including a notable contribution to "All About Eve."
-
C.
Kevin Maurice Johnson
Kevin Maurice Johnson is a former NBA All-Star point guard who became the mayor of Sacramento, California.
-
D.
Michael Cavanagh
Michael Cavanagh is an Australian drummer best known for his work with the psychedelic rock band King Gizzard & the Lizard Wizard.
-
E.
Joseph L. Roberts Jr.
Joseph L. Roberts Jr. was a prominent American pastor and theologian best known for his long tenure leading Atlanta’s historic Ebenezer Baptist Church after the era of Martin Luther King Jr.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa886508190902ffc26b30731ae |
completed | April 19, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03c4c8224c819085369e23b7265dcb |
completed | May 13, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_6a03c6397260819085b81b68cac69907 |
completed | May 13, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c84f469c8190aef27154c17fd652 |
completed | May 13, 2026, 12:39 a.m. |
Created at: April 10, 2026, 10:36 a.m.