Triple

T7674976
Position Surface form Disambiguated ID Type / Status
Subject Kingsley Martin E173838 entity
Predicate givenName P17 FINISHED
Object Basil E95135 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: Basil | Statement: [Kingsley Martin, givenName, Basil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basil
Context triple: [Kingsley Martin, givenName, Basil]
  • A. Basil chosen
    Basil is a masculine given name of Greek origin, commonly associated with historical figures, saints, and notable artists and actors.
  • B. Dill
    The Dill is a river in central Germany that flows through Hesse and North Rhine-Westphalia before joining the Lahn.
  • C. Coriandrum sativum
    Coriandrum sativum is an aromatic annual herb widely used as a culinary spice and fresh herb (known as coriander or cilantro) in cuisines around the world.
  • D. Mentha spicata
    Mentha spicata is a species of mint commonly known as spearmint, widely used as a culinary herb and flavoring agent for its aromatic, refreshing leaves.
  • E. Rosemary
    Rosemary is a feminine given name of Latin origin, commonly associated with the aromatic herb and often used in English-speaking countries.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701e1e530819086f49f63ba0b7b42 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a23ba62881908fcdcf2ffcf6d41d completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4:01 p.m.