Triple

T7531775
Position Surface form Disambiguated ID Type / Status
Subject I Am Greta E178039 entity
Predicate editedBy P1954 FINISHED
Object Charlotte Landelius E33308 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: Charlotte Landelius | Statement: [I Am Greta, editedBy, Charlotte Landelius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte Landelius
Context triple: [I Am Greta, editedBy, Charlotte Landelius]
  • A. Charlotte Landelius chosen
    Charlotte Landelius is a film editor known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
  • B. Johanna Lange
    Johanna Lange was the wife of German philosopher and neo-Kantian thinker Friedrich Albert Lange.
  • C. Marie Selland
    Marie Selland was the first wife of American film director Sam Peckinpah, known primarily in relation to his early personal life.
  • D. Cecilia Nessen
    Cecilia Nessen is a film producer best known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
  • E. Maria Karoline Flachsland
    Maria Karoline Flachsland was the wife and close intellectual companion of German philosopher and literary figure Johann Gottfried Herder.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f84753fc81908bee2013004ef5fb completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c87070d8a88190afde21f548d86292 completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:47 p.m.