Triple

T19542513
Position Surface form Disambiguated ID Type / Status
Subject Ellen Heidingsfelder E488941 entity
Predicate name P16 FINISHED
Object Ellen Heidingsfelder 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: Ellen Heidingsfelder | Statement: [Ellen Heidingsfelder, name, Ellen Heidingsfelder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ellen Heidingsfelder
Context triple: [Ellen Heidingsfelder, name, Ellen Heidingsfelder]
  • A. Ellen Heidingsfelder chosen
    Ellen Heidingsfelder is an American attorney from New Orleans best known as the wife of Cooper Manning, member of the prominent Manning football family.
  • B. Ellen Benz
    Ellen Benz was a daughter of German engineer and automobile pioneer Karl Benz.
  • C. Ellen Benrath
    Ellen Benrath is known primarily as the wife of German actor Martin Benrath.
  • D. Martha Schmellinsky
    Martha Schmellinsky was the wife of East German leader Walter Ulbricht and thus part of the political elite of the German Democratic Republic.
  • E. Anne Schaefer
    Anne Schaefer was an American silent film actress active in the early 20th century, appearing in numerous productions during the 1910s and 1920s.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6387442588190a2cdae60a6a940d6 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.