Triple

T14637756
Position Surface form Disambiguated ID Type / Status
Subject 99 Homes E343649 entity
Predicate starring P1507 FINISHED
Object Laura Dern E38705 NE FINISHED

How this triple was built (2 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 Dern | Statement: [99 Homes, starring, Laura Dern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Dern
Context triple: [99 Homes, starring, Laura Dern]
  • A. Laura Dern chosen
    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."
  • B. Elizabeth Perkins
    Elizabeth Perkins is an American actress known for her versatile film and television roles, including work in both live-action and animated projects.
  • C. Jennifer Nicholson
    Jennifer Nicholson is an American fashion designer and actress, best known as the daughter of acclaimed actor Jack Nicholson.
  • D. Maria Bello
    Maria Bello is an American actress known for her versatile roles in film and television, including performances in projects like "A History of Violence," "ER," and "NCIS."
  • E. Jessica Rains
    Jessica Rains is an American actress and producer, best known as the daughter of acclaimed British actor Claude Rains and for her work in film and television during the late 20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aca6448190adf1042dfbfef716 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda934ec3c81909eb3c3a54260436b completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.