Triple

T20294200
Position Surface form Disambiguated ID Type / Status
Subject Thomas Arnold E510103 entity
Predicate spouse P13 FINISHED
Object Mary Penrose E510103 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: Mary Penrose | Statement: [Thomas Arnold, spouse, Mary Penrose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Penrose
Context triple: [Thomas Arnold, spouse, Mary Penrose]
  • A. Mary Penrose
    Mary Penrose was the wife of American Revolutionary War general Anthony Wayne and a member of a prominent Pennsylvania family in the late 18th century.
  • B. Mary Penrose chosen
    Mary Penrose was the wife of influential English educator and Rugby School headmaster Thomas Arnold.
  • C. Margaret Leathes Penrose
    Margaret Leathes Penrose was the mother of renowned mathematical physicist and Nobel laureate Sir Roger Penrose.
  • D. Margaret Leathes Penrose
    Margaret Leathes Penrose was the mother of British chess grandmaster and psychologist Jonathan Penrose and a member of the notable Penrose family.
  • E. Henrietta Octavia Weston Rowland
    Henrietta Octavia Weston Rowland, later known as Henrietta Barnett, was a British social reformer and philanthropist best known for co-founding Hampstead Garden Suburb and advocating for housing and educational improvements for the poor.
  • 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67704262c8190bc903b733d849881 completed April 20, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a32754c8190a5370068e15e907b completed May 16, 2026, 11:51 a.m.
Created at: April 16, 2026, 11:13 a.m.