Triple

T17830373
Position Surface form Disambiguated ID Type / Status
Subject Rose Friedman E445236 entity
Predicate hasChild P369 FINISHED
Object Jan Friedman 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: Jan Friedman | Statement: [Rose Friedman, hasChild, Jan Friedman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Friedman
Context triple: [Rose Friedman, hasChild, Jan Friedman]
  • A. Jan Friedman chosen
    Jan Friedman is a member of the Friedman family, known primarily as the child of economist Rose Friedman and thus part of a prominent lineage in economic thought.
  • B. Jonathan Friedman
    Jonathan Friedman is a relatively common personal name shared by multiple individuals across various professional fields, including academia, law, and the arts.
  • C. Jud Friedman
    Jud Friedman is an American songwriter and producer best known for co-writing major pop and R&B ballads, including hits for artists like Whitney Houston.
  • D. Steven Fierberg
    Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
  • E. Matthew Friedman
    Matthew Friedman is a film editor best known for his work on the acclaimed 2019 drama "The Farewell."
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48917c4d88190b919a4b75aed011c completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.