Triple

T3698993
Position Surface form Disambiguated ID Type / Status
Subject Tideland E78527 entity
Predicate protagonistPortrayedBy P9616 FINISHED
Object Jodelle Ferland E383462 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: Jodelle Ferland | Statement: [Tideland, protagonistPortrayedBy, Jodelle Ferland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jodelle Ferland
Context triple: [Tideland, protagonistPortrayedBy, Jodelle Ferland]
  • A. Jodelle Ferland chosen
    Jodelle Ferland is a Canadian actress known for her acclaimed child performances in films such as "Tideland" and various genre and horror projects.
  • B. Calista Flockhart
    Calista Flockhart is an American actress best known for her title role as a quirky lawyer in the television series "Ally McBeal."
  • C. Amy Ruck
    Amy Ruck was the wife of botanist Francis Darwin, son of Charles Darwin, and a member of the extended Darwin family circle in late 19th-century England.
  • D. Heather Lind
    Heather Lind is an American actress known for her work in film, television, and theater, including roles in projects like the indie comedy-drama "Mistress America."
  • E. Joely Richardson
    Joely Richardson is an English actress known for her work in film and television, including roles in projects such as "Nip/Tuck" and various period dramas.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc513d26c8190bfdf25f62af8c6ca completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4e9959881908b29fd6c5e344169 completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:26 p.m.