Triple

T9238252
Position Surface form Disambiguated ID Type / Status
Subject Assistant District Attorney Ron Carver E221989 entity
Predicate hasFirstName P17 FINISHED
Object Ron
Ron is a fictional assistant district attorney character, best known from the television series "Law & Order: Criminal Intent."
E787168 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: [Assistant District Attorney Ron Carver, hasFirstName, Ron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron
Context triple: [Assistant District Attorney Ron Carver, hasFirstName, Ron]
  • A. 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.
  • B. 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.
  • C. Ron
    Ron is a West Chadic language spoken in parts of central Nigeria.
  • D. Rob
    Rob is a common shortened form of the given name Robert, frequently used as an informal or familiar first name.
  • E. Rick
    Rick is a music producer best known for his work with bands like Pearl Jam and Temple of the Dog.
  • 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: [Assistant District Attorney Ron Carver, hasFirstName, Ron]
Generated description
Ron is a fictional assistant district attorney character, best known from the television series "Law & Order: Criminal Intent."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ron
Target entity description: Ron is a fictional assistant district attorney character, best known from the television series "Law & Order: Criminal Intent."
  • A. 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.
  • B. Ron
    Ron is a West Chadic language spoken in parts of central Nigeria.
  • C. 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.
  • D. Rob
    Rob is a common shortened form of the given name Robert, frequently used as an informal or familiar first name.
  • E. Rick
    Rick is the given name of Rick Warren, the American evangelical Christian pastor and author best known for writing "The Purpose Driven Life."
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf09f9e908190801fe114c5e63984 completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077d4c4a881909c80176ddf5101a4 completed April 4, 2026, 2:30 a.m.
NEDg Description generation batch_69d07da85c748190ab7096ce3d3d2319 completed April 4, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_69d07e52c0788190a5009a7fe649a6c7 completed April 4, 2026, 2:58 a.m.
Created at: March 30, 2026, 7:30 p.m.