Triple

T13512068
Position Surface form Disambiguated ID Type / Status
Subject Sir James Matthew Barrie E322663 entity
Predicate spouse P13 FINISHED
Object Mary Ansell E389033 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 Ansell | Statement: [Sir James Matthew Barrie, spouse, Mary Ansell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Ansell
Context triple: [Sir James Matthew Barrie, spouse, Mary Ansell]
  • A. Mary Ansell chosen
    Mary Ansell was an English actress best known as the first wife of playwright J. M. Barrie, the creator of Peter Pan.
  • B. Sarah Angliss
    Sarah Angliss is a British composer, multi-instrumentalist, and sound artist known for blending electronics, robotics, and early music influences in her experimental works.
  • C. Anne Sutherland
    Anne Sutherland is a Scottish operatic soprano renowned for her powerful voice and interpretations of bel canto repertoire.
  • D. Maria Gunning
    Maria Gunning was an 18th-century Irish-born society beauty who became a celebrated British countess and prominent figure in Georgian high society.
  • E. Louise Nicholl
    Louise Nicholl is a notable individual recognized for bearing the surname Nicholl.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf86a6208190be8c18f7a0158f23 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed314bb9481908144c5399aa62ffa completed May 9, 2026, 6:24 a.m.
Created at: April 9, 2026, 9:43 p.m.