Triple

T1068637
Position Surface form Disambiguated ID Type / Status
Subject John Howland E23272 entity
Predicate marriedTo P13 FINISHED
Object Elizabeth Tilley E202948 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: Elizabeth Tilley | Statement: [John Howland, marriedTo, Elizabeth Tilley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth Tilley
Context triple: [John Howland, marriedTo, Elizabeth Tilley]
  • A. Elizabeth Tilley chosen
    Elizabeth Tilley was a Mayflower passenger who survived the first harsh years at Plymouth Colony and later married fellow colonist John Howland, becoming an important ancestor of many notable Americans.
  • B. Tiana Rogers
    Tiana Rogers was a Cherokee woman known for her marriage to Sam Houston, the American statesman and leader of the Republic of Texas.
  • C. Sarah Thorne
    Sarah Thorne was the wife of Leonard Darwin, son of the naturalist Charles Darwin.
  • D. Tabitha Grant
    Tabitha Grant is the daughter of British actor Hugh Grant and his former partner Tinglan Hong.
  • E. Lindsay Roy
    Lindsay Roy is a Scottish Labour politician and former Member of Parliament who represented the Glenrothes constituency in the UK Parliament.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b91389888190b4b96d7ee4dda206 completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69adc977276881908405e2411eb14fa1 completed March 8, 2026, 7:09 p.m.
Created at: March 1, 2026, 7:42 p.m.