Triple

T15716707
Position Surface form Disambiguated ID Type / Status
Subject Jeliza-Rose E380979 entity
Predicate portrayedBy P1507 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: [Jeliza-Rose, portrayedBy, Jodelle Ferland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jodelle Ferland
Context triple: [Jeliza-Rose, portrayedBy, 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. Kristin Duvall
    Kristin Duvall is a voice actress known for portraying Peppermint Patty in Peanuts-related media.
  • C. Jewel Staite
    Jewel Staite is a Canadian actress best known for her role as Kaylee Frye in the TV series "Firefly" and its film continuation "Serenity."
  • D. Melissa Sue Anderson
    Melissa Sue Anderson is an American actress best known for her role as Mary Ingalls on the television series "Little House on the Prairie."
  • E. Alice Patten
    Alice Patten is a British actress best known internationally for her role as an English documentary filmmaker in the acclaimed Indian film "Rang De Basanti."
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f91beb08190bd91bf9306737c3b completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe650c8481909d1c1661b20eac73 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:45 a.m.