Triple

T14349163
Position Surface form Disambiguated ID Type / Status
Subject Matthew Clairmont E355805 entity
Predicate createdBy P806 FINISHED
Object Deborah Harkness E1092793 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: Deborah Harkness | Statement: [Matthew Clairmont, createdBy, Deborah Harkness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deborah Harkness
Context triple: [Matthew Clairmont, createdBy, Deborah Harkness]
  • A. Deborah Harkness chosen
    Deborah Harkness is an American historian and novelist best known for her bestselling All Souls Trilogy, which blends fantasy, history, and romance.
  • B. Susanna Bennett
    Susanna Bennett was the wife of Irish Gothic writer Sheridan Le Fanu, known primarily through her marriage to the influential Victorian author.
  • C. Naomi Novik
    Naomi Novik is an American fantasy author best known for her Temeraire series and the award-winning novels Uprooted and Spinning Silver.
  • D. Mary K. Vernon
    Mary K. Vernon is a computer scientist known for her research in computer systems performance and for mentoring prominent scholars in the field.
  • E. Jacquetta Hawkes
    Jacquetta Hawkes was a British archaeologist and writer known for her influential books on prehistory and for popularizing archaeology in the mid-20th century.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8d081c8190ac805726a3e98f4c completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c4145c081909832e2334a064fb0 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:14 a.m.