Triple

T1650885
Position Surface form Disambiguated ID Type / Status
Subject Karen Black E35688 entity
Predicate child P120 FINISHED
Object Hunter Carson
Hunter Carson is an American actor and screenwriter best known for his childhood role in the 1984 science fiction film "Paris, Texas."
 E214247 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: Hunter Carson | Statement: [Karen Black, child, Hunter Carson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hunter Carson
Context triple: [Karen Black, child, Hunter Carson]
  • A. Andrew Carnes
    Andrew Carnes is a character in the musical "Oklahoma!", known as the protective father of Ado Annie.
  • B. Christopher Courtney
    Christopher Courtney was a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command during the early years of the Second World War.
  • C. Gary Christenson
    Gary Christenson is an American local politician who serves as the mayor of Malden, Massachusetts, overseeing the city's government and community initiatives.
  • D. Trent Luckinbill
    Trent Luckinbill is an American film producer known for working on acclaimed movies such as the crime thriller "Sicario."
  • E. Dan Carney
    Dan Carney is an American entrepreneur best known for co-founding the global restaurant chain Pizza Hut.
  • 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: Hunter Carson
Triple: [Karen Black, child, Hunter Carson]
Generated description
Hunter Carson is an American actor and screenwriter best known for his childhood role in the 1984 science fiction film "Paris, Texas."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hunter Carson
Target entity description: Hunter Carson is an American actor and screenwriter best known for his childhood role in the 1984 science fiction film "Paris, Texas."
  • A. Andrew Carnes
    Andrew Carnes is a character in the musical "Oklahoma!", known as the protective father of Ado Annie.
  • B. Christopher Courtney
    Christopher Courtney was a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command during the early years of the Second World War.
  • C. Gary Christenson
    Gary Christenson is an American local politician who serves as the mayor of Malden, Massachusetts, overseeing the city's government and community initiatives.
  • D. Trent Luckinbill
    Trent Luckinbill is an American film producer known for working on acclaimed movies such as the crime thriller "Sicario."
  • E. Jonathan Byers
    Jonathan Byers is a quiet, introspective teenager and aspiring photographer from the Byers family in the supernatural horror series "Stranger Things."
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a67c0308190a502fd9c6c0769bc completed March 5, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeac40c608190800da8b029ef065a completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeb9dccf48190800ddd282331c4b4 completed March 8, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69adf023e39c8190a2651b6c1e59a2ee completed March 8, 2026, 9:54 p.m.
Created at: March 4, 2026, 7:29 p.m.