Triple

T9431699
Position Surface form Disambiguated ID Type / Status
Subject Garrett E227391 entity
Predicate hasVariant P455 FINISHED
Object Jarrett E533415 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: Jarrett | Statement: [Garrett, hasVariant, Jarrett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jarrett
Context triple: [Garrett, hasVariant, Jarrett]
  • A. Jarrett chosen
    Jarrett is a surname most prominently associated with Valerie Jarrett, a senior advisor to former U.S. President Barack Obama and influential figure in American politics.
  • B. Ma Jarrett
    Ma Jarrett is a key supporting character in the classic 1949 film noir "White Heat," known as the fiercely devoted and manipulative mother of gangster Cody Jarrett.
  • C. Jimmy Garrett
    Jimmy Garrett is an American former child actor best known for playing Jerry Carmichael, Lucille Ball’s son, on the 1960s sitcom *The Lucy Show*.
  • D. Calvin Jarrett
    Calvin Jarrett is a central character in the film "Ordinary People," depicted as a conflicted suburban father struggling to hold his family together after a tragic loss.
  • E. Garrett Fagan
    Garrett Fagan was a historian and professor of ancient history, best known for his work on Roman history, public spectacles, and the critical examination of pseudoarchaeology.
  • 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_69d1104033c08190a3670b017bd984d5 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:49 p.m.