Triple

T7163896
Position Surface form Disambiguated ID Type / Status
Subject Rhea Durham E167016 entity
Predicate hasChild P369 FINISHED
Object Grace Margaret Wahlberg E167016 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: Grace Margaret Wahlberg | Statement: [Rhea Durham, hasChild, Grace Margaret Wahlberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grace Margaret Wahlberg
Context triple: [Rhea Durham, hasChild, Grace Margaret Wahlberg]
  • A. Grace Margaret Wahlberg chosen
    Grace Margaret Wahlberg is the daughter of American actor and producer Mark Wahlberg and his wife Rhea Durham.
  • B. Margarete Jensen
    Margarete Jensen was the wife of German nuclear physicist and Nobel laureate Hans D. Jensen.
  • C. Ruth Randall Edström
    Ruth Randall Edström was the American-born wife of Swedish industrialist and long-time International Olympic Committee president Sigfrid Edström, noted for her role in international social and cultural circles in the early 20th century.
  • D. Margaret Engemann
    Margaret Engemann was the wife of pioneering American mathematician and cybernetics founder Norbert Wiener.
  • E. Elizabeth Paepcke
    Elizabeth Paepcke was an American philanthropist and cultural visionary who, with her husband Walter, played a central role in transforming Aspen, Colorado into an international center for arts, ideas, and intellectual dialogue.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e83168a08190937ff46797d94f3e completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b901cb608190acd25c22b38a1957 completed March 28, 2026, 11:18 a.m.
Created at: March 27, 2026, 2:47 p.m.