Triple

T9431696
Position Surface form Disambiguated ID Type / Status
Subject Garrett E227391 entity
Predicate hasVariant P455 FINISHED
Object Garret E227391 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: Garret | Statement: [Garrett, hasVariant, Garret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garret
Context triple: [Garrett, hasVariant, Garret]
  • A. Garrett chosen
    Garrett is a masculine given name of Old French and Germanic origin, commonly used in English-speaking countries.
  • B. Garth
    Garth is a novel by American writer Julian Hawthorne, known as one of his more prominent works of fiction in the late 19th century.
  • C. Garth
    Garth is a fictional character from the American prime-time television soap opera "Falcon Crest."
  • D. Garth
    Garth is one of the central protagonists of the 1970s Canadian science fiction television series "The Starlost," which follows a group of isolated villagers who discover their world is actually part of a vast, failing space ark.
  • E. Garth
    Garth is a small village and community located in the Llynfi Valley in South Wales.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e6059bc8190a7e98aef3caabd0b completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122484a90819080e406a7ae5c61fe completed April 4, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:49 p.m.