Triple

T987843
Position Surface form Disambiguated ID Type / Status
Subject Ron DeSantis E21318 entity
Predicate givenName P17 FINISHED
Object Ron
Ron is the commonly used first name of American politician Ron DeSantis, the governor of Florida and a prominent figure in contemporary U.S. conservative politics.
 E117761 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: Ron | Statement: [Ron DeSantis, givenName, Ron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ron
Context triple: [Ron DeSantis, givenName, Ron]
  • A. Rob
    Rob is a common shortened form of the given name Robert, frequently used as an informal or familiar first name.
  • B. Rick
    Rick is the common nickname of Rick Adelman, a former professional basketball player and longtime NBA head coach best known for leading the Portland Trail Blazers and Sacramento Kings.
  • C. Joe
    Joe is the given name of Joe Nickell, an American investigator and author known for his work examining alleged paranormal and mysterious phenomena.
  • D. Don
    Don is a masculine given name, often a short form of Donald, used in English-speaking countries.
  • E. Don
    The Don is a major river in southwestern Russia that flows from the Central Russian Upland to the Sea of Azov, historically serving as an important trade route and cultural boundary.
  • 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: Ron
Triple: [Ron DeSantis, givenName, Ron]
Generated description
Ron is the commonly used first name of American politician Ron DeSantis, the governor of Florida and a prominent figure in contemporary U.S. conservative politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ron
Target entity description: Ron is the commonly used first name of American politician Ron DeSantis, the governor of Florida and a prominent figure in contemporary U.S. conservative politics.
  • A. Rob
    Rob is a common shortened form of the given name Robert, frequently used as an informal or familiar first name.
  • B. Rick
    Rick is the common nickname of Rick Adelman, a former professional basketball player and longtime NBA head coach best known for leading the Portland Trail Blazers and Sacramento Kings.
  • C. Joe
    Joe is the given name of Joe Nickell, an American investigator and author known for his work examining alleged paranormal and mysterious phenomena.
  • D. Don
    Don is a masculine given name, often a short form of Donald, used in English-speaking countries.
  • E. Don
    The Don is a major river in southwestern Russia that flows from the Central Russian Upland to the Sea of Azov, historically serving as an important trade route and cultural boundary.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4a89a58819081a24b5b0a12f122 completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac258b55908190bc5bbf1c2756482d completed March 7, 2026, 1:18 p.m.
NEDg Description generation batch_69ac27bec3ec8190a96338fd961940c1 completed March 7, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69ac282aa1308190889ef5bedfe449c9 completed March 7, 2026, 1:29 p.m.
Created at: March 1, 2026, 7:41 p.m.