Triple

T382108
Position Surface form Disambiguated ID Type / Status
Subject Love Actually E8702 entity
Predicate hasCastMember P2308 FINISHED
Object Laura Linney
Laura Linney is an American actress acclaimed for her versatile performances in film, television, and theater, with notable roles in works such as "You Can Count on Me," "The Truman Show," and the series "Ozark."
 E52403 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: Laura Linney | Statement: [Love Actually, hasCastMember, Laura Linney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laura Linney
Context triple: [Love Actually, hasCastMember, Laura Linney]
  • A. Melissa Leo
    Melissa Leo is an American actress acclaimed for her powerful character roles in film and television, including her Oscar-winning performance in "The Fighter."
  • B. Jennifer Ehle
    Jennifer Ehle is an award-winning English-American actress known for her acclaimed performances in film, television, and theatre, including her BAFTA-winning role as Elizabeth Bennet in the 1995 BBC adaptation of "Pride and Prejudice."
  • C. Dianne Wiest
    Dianne Wiest is an acclaimed American actress known for her versatile performances in film, television, and theater, including multiple award-winning supporting roles.
  • D. Michelle Williams
    Michelle Williams is an acclaimed American actress known for her emotionally nuanced performances in both independent films and major studio productions, earning multiple Academy Award and Golden Globe nominations and wins.
  • E. Laura Dern
    Laura Dern is an acclaimed American actress known for her versatile performances in film and television, including roles in works like "Jurassic Park," "Blue Velvet," and "Big Little Lies."
  • 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: Laura Linney
Triple: [Love Actually, hasCastMember, Laura Linney]
Generated description
Laura Linney is an American actress acclaimed for her versatile performances in film, television, and theater, with notable roles in works such as "You Can Count on Me," "The Truman Show," and the series "Ozark."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laura Linney
Target entity description: Laura Linney is an American actress acclaimed for her versatile performances in film, television, and theater, with notable roles in works such as "You Can Count on Me," "The Truman Show," and the series "Ozark."
  • A. Melissa Leo
    Melissa Leo is an American actress acclaimed for her powerful character roles in film and television, including her Oscar-winning performance in "The Fighter."
  • B. Jennifer Ehle
    Jennifer Ehle is an award-winning English-American actress known for her acclaimed performances in film, television, and theatre, including her BAFTA-winning role as Elizabeth Bennet in the 1995 BBC adaptation of "Pride and Prejudice."
  • C. Dianne Wiest
    Dianne Wiest is an acclaimed American actress known for her versatile performances in film, television, and theater, including multiple award-winning supporting roles.
  • D. Michelle Williams
    Michelle Williams is an acclaimed American actress known for her emotionally nuanced performances in both independent films and major studio productions, earning multiple Academy Award and Golden Globe nominations and wins.
  • E. Laura Dern
    Laura Dern is an acclaimed American actress known for her versatile performances in film and television, including roles in works like "Jurassic Park," "Blue Velvet," and "Big Little Lies."
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec2e3d5c8190b358bd9fd6b16a14 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a41b44959c8190a793b4e5af838c7c completed March 1, 2026, 10:56 a.m.
NEDg Description generation batch_69a41bd12bdc81909fc3da7e3a01642b completed March 1, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_69a42290059481908d0b10769263b0da completed March 1, 2026, 11:27 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.