Triple

T13934295
Position Surface form Disambiguated ID Type / Status
Subject Joanna Roos E335074 entity
Predicate name P16 FINISHED
Object Joanna Roos E335074 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: Joanna Roos | Statement: [Joanna Roos, name, Joanna Roos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joanna Roos
Context triple: [Joanna Roos, name, Joanna Roos]
  • A. Joanna Roos chosen
    Joanna Roos was an American stage, film, and television actress active in the mid-20th century.
  • B. Angela Bartys
    Angela Bartys is an American voice actress best known for voicing the fairy Fawn in Disney's Tinker Bell film series.
  • C. Joanna Willett
    Joanna Willett is a television writer best known for creating the EastEnders character Ronnie Mitchell.
  • D. Yevgeniya Makhankova
    Yevgeniya Makhankova is a Soviet film editor best known for her work on the classic 1977 romantic comedy "Office Romance."
  • E. Louise Gault
    Louise Gault was the wife of Canadian soldier, politician, and philanthropist Andrew Hamilton Gault, founder of Princess Patricia’s Canadian Light Infantry.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf28df081908d897d7b9ec7939d completed April 14, 2026, 12:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce865ab4819088221189344b3801 completed May 3, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:17 p.m.