Triple

T20517455
Position Surface form Disambiguated ID Type / Status
Subject Breathe In E503716 entity
Predicate editedBy P1954 FINISHED
Object Jonathan Alberts NE NERFINISHED

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: Jonathan Alberts | Statement: [Breathe In, editedBy, Jonathan Alberts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Alberts
Context triple: [Breathe In, editedBy, Jonathan Alberts]
  • A. Jonathan Alberts chosen
    Jonathan Alberts is a film editor known for his work on independent and character-driven movies, including the romantic drama "Like Crazy."
  • B. Alfred Roome
    Alfred Roome was a British film editor best known for his work on numerous classic comedies, including several of the Carry On films.
  • C. George Pilger
    George Pilger is an individual notable enough to be recognized as a bearer of the surname Pilger, though specific widely known biographical details about him are not well documented.
  • D. Paul Graetz
    Paul Graetz was a French film producer active in the mid-20th century, known for backing a range of notable European films.
  • E. Robert Hanhart
    Robert Hanhart is a classical philologist and biblical scholar known for his work on the Septuagint and critical editions of ancient Greek texts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f42db688190a3ccfba5601e8bf3 completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 11:36 a.m.