Triple

T12768693
Position Surface form Disambiguated ID Type / Status
Subject Now Is Good E305189 entity
Predicate protagonistPortrayedBy P9616 FINISHED
Object Dakota Fanning E75080 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: Dakota Fanning | Statement: [Now Is Good, protagonistPortrayedBy, Dakota Fanning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dakota Fanning
Context triple: [Now Is Good, protagonistPortrayedBy, Dakota Fanning]
  • A. Dakota Fanning chosen
    Dakota Fanning is an American actress who rose to fame as a child star in films like "I Am Sam" and has since built a diverse career in both mainstream and independent cinema.
  • B. Elle Fanning
    Elle Fanning is an American actress known for her versatile performances in films such as "Super 8," "Maleficent," and "The Neon Demon," as well as the TV series "The Great."
  • C. Haley Bennett
    Haley Bennett is an American actress and singer known for her versatile performances in films such as "The Girl on the Train," "The Magnificent Seven," and "Swallow."
  • D. Dakota O'Donnell
    Dakota O'Donnell is one of the adopted children of American comedian, actress, and television personality Rosie O'Donnell.
  • E. Maggie Grace
    Maggie Grace is an American actress best known for her roles in the TV series "Lost" and the "Taken" film series.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df3b2f88190b37b696400178795 completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af4bd22c819091050e5a40a4a96a completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:28 p.m.