Triple

T10608892
Position Surface form Disambiguated ID Type / Status
Subject Ron Rivers E275950 entity
Predicate givenName P17 FINISHED
Object Ron
Ron is a common masculine given name, often used as a short form of names like Ronald or Aaron.
 E808314 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 Rivers, givenName, Ron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ron
Context triple: [Ron Rivers, givenName, Ron]
  • A. Ron
    Ron is a central character in the Harry Potter series, known as Harry Potter’s loyal best friend and a member of the Weasley family.
  • B. Ron
    Ron is a malfunctioning but endearing robot companion who forms an unlikely friendship with a socially awkward boy in the animated film "Ron's Gone Wrong."
  • C. 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.
  • D. Ron
    Ron is a West Chadic language spoken in parts of central Nigeria.
  • E. Ron
    Ron is a fictional assistant district attorney character, best known from the television series "Law & Order: Criminal Intent."
  • 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 Rivers, givenName, Ron]
Generated description
Ron is a common masculine given name, often used as a short form of names like Ronald or Aaron.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ron
Target entity description: Ron is a common masculine given name, often used as a short form of names like Ronald or Aaron.
  • A. Ron chosen
    Ron is a male given name commonly used in English-speaking countries, often as a short form of Ronald.
  • B. 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.
  • C. Ron
    Ron is the given name of American novelist Ron Currie Jr., known for his darkly comic and speculative fiction.
  • D. Ron
    Ron is a central character in the Harry Potter series, known as Harry Potter’s loyal best friend and a member of the Weasley family.
  • E. Ron
    Ron is a fictional assistant district attorney character, best known from the television series "Law & Order: Criminal Intent."
  • F. None of above.

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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df4d0a6881909fea20378085173d completed April 8, 2026, 11:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95ebe539881908aeff1cd65cf925f completed April 10, 2026, 8:34 p.m.
NEDg Description generation batch_69d95f81955c8190b629d57a034a4b76 completed April 10, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_69d961047a78819088094e02c0b99f60 completed April 10, 2026, 8:43 p.m.
Created at: April 8, 2026, 7:32 p.m.