Triple

T8125623
Position Surface form Disambiguated ID Type / Status
Subject Diane Lane E189720 entity
Predicate parent P120 FINISHED
Object Colleen Farrington
Colleen Farrington was an American model and nightclub singer best known as the mother of actress Diane Lane.
 E813620 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: Colleen Farrington | Statement: [Diane Lane, parent, Colleen Farrington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Colleen Farrington
Context triple: [Diane Lane, parent, Colleen Farrington]
  • A. Colleen Bell
    Colleen Bell is an American television producer and political appointee who served as the U.S. Ambassador to Hungary.
  • B. Colleen Galaher
    Colleen Galaher is a central fictional character in James Patterson’s thriller novel "Cradle and All," around whom much of the book’s mystery and suspense revolves.
  • C. Colleen Reid
    Colleen Reid is a member of the Reid family best known as the sister of American actress Tara Reid.
  • D. Colleen Dewhurst
    Colleen Dewhurst was a Canadian-American actress renowned for her powerful stage performances and acclaimed work in film and television, particularly in Eugene O’Neill plays and the series "Anne of Green Gables."
  • E. Colleen Ahland
    Colleen Ahland is a linguist known for her research on the Koman languages of Ethiopia and Sudan, focusing on their documentation, description, and classification.
  • 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: Colleen Farrington
Triple: [Diane Lane, parent, Colleen Farrington]
Generated description
Colleen Farrington was an American model and nightclub singer best known as the mother of actress Diane Lane.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Colleen Farrington
Target entity description: Colleen Farrington was an American model and nightclub singer best known as the mother of actress Diane Lane.
  • A. Colleen Bell
    Colleen Bell is an American television producer and political appointee who served as the U.S. Ambassador to Hungary.
  • B. Colleen Galaher
    Colleen Galaher is a central fictional character in James Patterson’s thriller novel "Cradle and All," around whom much of the book’s mystery and suspense revolves.
  • C. Colleen Reid
    Colleen Reid is a member of the Reid family best known as the sister of American actress Tara Reid.
  • D. Colleen Dewhurst
    Colleen Dewhurst was a Canadian-American actress renowned for her powerful stage performances and acclaimed work in film and television, particularly in Eugene O’Neill plays and the series "Anne of Green Gables."
  • E. Colleen Ahland
    Colleen Ahland is a linguist known for her research on the Koman languages of Ethiopia and Sudan, focusing on their documentation, description, and classification.
  • 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb438eb778819085296e6cbfa2e70d completed March 31, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d189c795d48190ba80739d07bc899c completed April 4, 2026, 9:59 p.m.
NEDg Description generation batch_69d18adf50308190bf1cc9d6dd1d7ea3 completed April 4, 2026, 10:04 p.m.
NED2 Entity disambiguation (via description) batch_69d18b6a2fb0819092ee274310721b50 completed April 4, 2026, 10:06 p.m.
Created at: March 30, 2026, 5:34 p.m.