Triple

T2569103
Position Surface form Disambiguated ID Type / Status
Subject Thoby Stephen E57621 entity
Predicate nickname P55 FINISHED
Object Thoby E57621 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: Thoby | Statement: [Thoby Stephen, nickname, Thoby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thoby
Context triple: [Thoby Stephen, nickname, Thoby]
  • A. Thoby Stephen chosen
    Thoby Stephen was an English intellectual and central early figure in the formation of the Bloomsbury Group, known for hosting the gatherings that brought its core members together.
  • B. Mary Tuffley
    Mary Tuffley was the wife of English writer Daniel Defoe, known primarily through her marriage to the famed author of "Robinson Crusoe."
  • C. Toby
    Toby is a central protagonist in Margaret Atwood’s dystopian MaddAddam trilogy, known for her resilience, survival skills, and complex moral perspective in a post-apocalyptic world.
  • D. Toby
    Toby is a masculine given name commonly used in English-speaking countries, often as a diminutive of Tobias.
  • E. Jeremy Quin
    Jeremy Quin is a British Conservative Party politician who has served as a Member of Parliament and held senior government roles, including in the Cabinet Office.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd380d6e081909c124e8a0b7feef3 completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6569e38881908d1492277fe0c60c completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:48 p.m.