Triple

T2529304
Position Surface form Disambiguated ID Type / Status
Subject Edward Tilley E56116 entity
Predicate traveledWith P17836 FINISHED
Object Ann Tilley E275448 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: Ann Tilley | Statement: [Edward Tilley, traveledWith, Ann Tilley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ann Tilley
Context triple: [Edward Tilley, traveledWith, Ann Tilley]
  • A. Ann Tilley chosen
    Ann Tilley was the wife of Mayflower passenger Edward Tilley and one of the women who took part in the early Pilgrim settlement at Plymouth Colony.
  • B. Ann Hines
    Ann Hines is known as the spouse of Lonnie Lynn, the late American basketball player and poet who was also the father of rapper and actor Common.
  • C. Beverly Bentley
    Beverly Bentley was an American actress and model known for her work in film and television during the mid-20th century.
  • D. Ellen Yates
    Ellen Yates was the mother of Sir Robert Peel, the influential 19th-century British Prime Minister and founder of the modern police force.
  • E. Myrtle Logue
    Myrtle Logue was the wife of Australian speech therapist Lionel Logue, known for supporting him during his work with King George VI.
  • 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_69ab4a48e4f081908f1218d244608659 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd25903f08190b46e12d32278daca completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cf3c790819089b0d202e25e6ede completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:46 p.m.