Triple

T2464918
Position Surface form Disambiguated ID Type / Status
Subject Euphemia de Ross E55223 entity
Predicate successorAsQueenConsort P7964 FINISHED
Object Anabella Drummond E175991 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: Anabella Drummond | Statement: [Euphemia de Ross, successorAsQueenConsort, Anabella Drummond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anabella Drummond
Context triple: [Euphemia de Ross, successorAsQueenConsort, Anabella Drummond]
  • A. Anabella Drummond chosen
    Anabella Drummond was a 14th-century Scottish queen consort, noted for her political influence and as the wife of King Robert III of Scotland.
  • B. Annabella Stewart
    Annabella Stewart was a medieval Scottish princess, the daughter of King James I of Scotland.
  • C. Leslie Cavendish
    Leslie Cavendish is the wife of British film producer Jonathan Cavendish, known for her connection to his work and public profile.
  • D. Isabella Damon
    Isabella Damon is one of American actor Matt Damon's daughters, known primarily for being part of his private family life.
  • E. Elizabeth Erving
    Elizabeth Erving was the wife of American statesman and Massachusetts governor James Bowdoin, connecting her to a prominent colonial New England political family.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1216f44819094c46ae7c2c1e394 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cdd404c8190b86f240789e68925 completed March 9, 2026, 11:50 p.m.
Created at: March 6, 2026, 9:44 p.m.