Triple

T23056539
Position Surface form Disambiguated ID Type / Status
Subject Ron Woodroof E574169 entity
Predicate givenName P17 FINISHED
Object Ron
Ron is the given name of Ron Woodroof, the American AIDS patient and activist whose story inspired the film "Dallas Buyers Club."
E1569981 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 Woodroof, givenName, Ron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron
Context triple: [Ron Woodroof, 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 a person associated with Brewis, likely as a collaborator, colleague, or acquaintance.
  • D. Ron
    Ron Leibman was an American actor known for his work in film, television, and theater, including his Emmy-winning role in the series "Kaz" and his recurring role as Dr. Leonard Green on "Friends."
  • E. Ron
    Ron is the given name of Ron Mueck, an Australian hyperrealist sculptor renowned for his extraordinarily lifelike, large-scale human figures.
  • 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 Woodroof, givenName, Ron]
Generated description
Ron is the given name of Ron Woodroof, the American AIDS patient and activist whose story inspired the film "Dallas Buyers Club."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ron
Target entity description: Ron is the given name of Ron Woodroof, the American AIDS patient and activist whose story inspired the film "Dallas Buyers Club."
  • A. Ron
    Ron is the given name of Ron Dayne, a former American football running back and Heisman Trophy winner.
  • B. Ron
    Ron is the given name of Ron Stallworth, the African-American police officer known for infiltrating the Ku Klux Klan in the 1970s and authoring the memoir "Black Klansman."
  • C. Ron
    Ron is a male given name commonly used in English-speaking countries, often as a short form of Ronald.
  • D. 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.
  • E. Ron
    Ron is the given name of Ron Mueck, an Australian hyperrealist sculptor renowned for his extraordinarily lifelike, large-scale human figures.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1868099708190b23725dc8a305e09 completed April 29, 2026, 4:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c15a3dfc481909f055d10c263591d completed May 19, 2026, 7:47 a.m.
NEDg Description generation batch_6a0c161cdc3c8190b9695b9c27c743ff completed May 19, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c16c73140819088d46d4e8b03c7a4 completed May 19, 2026, 7:52 a.m.
Created at: April 17, 2026, 3:55 p.m.