Triple

T7383787
Position Surface form Disambiguated ID Type / Status
Subject Jane Catherine Venn E170328 entity
Predicate familyName P18 FINISHED
Object Venn E279474 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: Venn | Statement: [Jane Catherine Venn, familyName, Venn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venn
Context triple: [Jane Catherine Venn, familyName, Venn]
  • A. Venn chosen
    Venn is an English surname most famously associated with logician John Venn, after whom Venn diagrams are named.
  • B. Vennachar
    Vennachar is a small rural community located within the township of Addington Highlands in eastern Ontario, Canada.
  • C.
    Vé is a Norse god, one of Odin’s brothers, associated with the creation of the world in Norse mythology.
  • D. Ven
    Ven is a small Swedish island in the Øresund Strait, known for its scenic landscapes, cycling paths, and historical association with astronomer Tycho Brahe.
  • E. Viner
    Viner is a surname most notably associated with Jacob Viner, a prominent 20th-century economist known for his influential work in international trade theory and economic history.
  • 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_69c68a5d0ed08190b6d361e68f813330 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1cb0b8881908132383c0efb0503 completed March 27, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802dee7448190be1835bd822b9180 completed March 28, 2026, 4:33 p.m.
Created at: March 27, 2026, 3:08 p.m.