Triple

T18944066
Position Surface form Disambiguated ID Type / Status
Subject The Sex Lives of College Girls E463460 entity
Predicate portrayedBy P1507 FINISHED
Object Pauline Chalamet NE NERFINISHED

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: Pauline Chalamet | Statement: [The Sex Lives of College Girls, portrayedBy, Pauline Chalamet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pauline Chalamet
Context triple: [The Sex Lives of College Girls, portrayedBy, Pauline Chalamet]
  • A. Pauline Chalamet chosen
    Pauline Chalamet is a French-American actress and writer known for roles in projects like "The King of Staten Island" and the HBO Max series "The Sex Lives of College Girls."
  • B. Emily Patterson
    Emily Patterson is the daughter of American actress Téa Leoni.
  • C. Maria Riva
    Maria Riva is a German-American actress and author best known as the daughter and biographer of film legend Marlene Dietrich.
  • D. Lucy Boynton
    Lucy Boynton is a British-American actress known for her roles in films such as "Bohemian Rhapsody" and "Sing Street," as well as various television dramas.
  • E. Taylor Russell
    Taylor Russell is a Canadian actress best known for her breakout role in the Netflix sci-fi series "Lost in Space" and acclaimed performances in films such as "Waves" and "Bones and All."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d53e6e0c81908a547e21c4819bac completed April 20, 2026, 7:26 a.m.
Created at: April 10, 2026, 11:59 a.m.