Triple

T20541972
Position Surface form Disambiguated ID Type / Status
Subject Laura Wright E504361 entity
Predicate hasChild P369 FINISHED
Object Lauren Wright
Lauren Wright is the daughter of American actress Laura Wright, known for her long-running role on the soap opera "General Hospital."
E1436798 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: Lauren Wright | Statement: [Laura Wright, hasChild, Lauren Wright]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauren Wright
Context triple: [Laura Wright, hasChild, Lauren Wright]
  • A. Lauren Mann
    Lauren Mann is a film producer known for her work on notable independent and genre films, including the drama thriller "The Card Counter."
  • B. Rachel Wright
    Rachel Wright is an individual known primarily as the sibling of Julia Wright.
  • C. Lauren Bowles
    Lauren Bowles is an American actress known for her roles in television series such as "True Blood" and "Seinfeld."
  • D. Lauren Parkinson
    Lauren Parkinson is an American actress best known for her role in the fantasy action film "Avengers Grimm."
  • E. Lauren Barnes
    Lauren Barnes is an American professional soccer defender best known for her standout career with OL Reign in the National Women's Soccer League.
  • 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: Lauren Wright
Triple: [Laura Wright, hasChild, Lauren Wright]
Generated description
Lauren Wright is the daughter of American actress Laura Wright, known for her long-running role on the soap opera "General Hospital."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lauren Wright
Target entity description: Lauren Wright is the daughter of American actress Laura Wright, known for her long-running role on the soap opera "General Hospital."
  • A. Lauren Mann
    Lauren Mann is a film producer known for her work on notable independent and genre films, including the drama thriller "The Card Counter."
  • B. Rachel Wright
    Rachel Wright is an individual known primarily as the sibling of Julia Wright.
  • C. Lauren Bowles
    Lauren Bowles is an American actress known for her roles in television series such as "True Blood" and "Seinfeld."
  • D. Lauren Parkinson
    Lauren Parkinson is an American actress best known for her role in the fantasy action film "Avengers Grimm."
  • E. Lauren Barnes
    Lauren Barnes is an American professional soccer defender best known for her standout career with OL Reign in the National Women's Soccer League.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a292dd1c8190b5c3031f3b44eb52 completed April 20, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a56b9b3081908786edd7c6867c98 completed May 16, 2026, 5:12 p.m.
NEDg Description generation batch_6a08a6439bc08190a2df7f1f7b24fadb completed May 16, 2026, 5:15 p.m.
NED2 Entity disambiguation (via description) batch_6a08a70118dc8190bdf07bcc3342340e completed May 16, 2026, 5:18 p.m.
Created at: April 16, 2026, 11:37 a.m.