Triple
T3969704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor of Nevada |
E92298
|
entity |
| Predicate | officeHolder |
P537
|
FINISHED |
| Object |
Joe Lombardo
Joe Lombardo is an American politician and former Clark County sheriff who serves as the governor of Nevada.
|
E425461
|
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: Joe Lombardo | Statement: [Governor of Nevada, officeHolder, Joe Lombardo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Lombardo Context triple: [Governor of Nevada, officeHolder, Joe Lombardo]
-
A.
Frank Yaconelli
Frank Yaconelli was an Italian-American character actor and musician known for his comic supporting roles in numerous Hollywood films from the 1930s and 1940s.
-
B.
Vern Damico
Vern Damico is a character in Norman Mailer’s nonfiction novel "The Executioner’s Song," which chronicles the life and execution of convicted murderer Gary Gilmore.
-
C.
Lou Lombardo
Lou Lombardo was a film editor known for his work on notable movies including the romantic comedy-drama "Moonstruck."
-
D.
Don Ierullo
Don Ierullo is a media entrepreneur best known for founding the global entertainment company Entertainment One.
-
E.
Gene Steratore
Gene Steratore is a former NFL and NCAA football official best known as a longtime NFL referee and later rules analyst for CBS Sports.
- 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: Joe Lombardo Triple: [Governor of Nevada, officeHolder, Joe Lombardo]
Generated description
Joe Lombardo is an American politician and former Clark County sheriff who serves as the governor of Nevada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Lombardo Target entity description: Joe Lombardo is an American politician and former Clark County sheriff who serves as the governor of Nevada.
-
A.
Frank Yaconelli
Frank Yaconelli was an Italian-American character actor and musician known for his comic supporting roles in numerous Hollywood films from the 1930s and 1940s.
-
B.
Vern Damico
Vern Damico is a character in Norman Mailer’s nonfiction novel "The Executioner’s Song," which chronicles the life and execution of convicted murderer Gary Gilmore.
-
C.
Lou Lombardo
Lou Lombardo was a film editor known for his work on notable movies including the romantic comedy-drama "Moonstruck."
-
D.
Don Ierullo
Don Ierullo is a media entrepreneur best known for founding the global entertainment company Entertainment One.
-
E.
Gene Steratore
Gene Steratore is a former NFL and NCAA football official best known as a longtime NFL referee and later rules analyst for CBS Sports.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9942c908190aface17a4e8d356d |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7516ca48190800e317de2fd8eca |
completed | March 14, 2026, 7:30 p.m. |
| NEDg | Description generation | batch_69b5b7e7f48881908ebb773499aebd5e |
completed | March 14, 2026, 7:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5b881c80081909af084ff4b43b01e |
completed | March 14, 2026, 7:35 p.m. |
Created at: March 9, 2026, 3:32 p.m.