Triple

T21737350
Position Surface form Disambiguated ID Type / Status
Subject Ingram E536559 entity
Predicate hasVariant P455 FINISHED
Object Ingraham NE NERFINISHED

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: Ingraham | Statement: [Ingram, hasVariant, Ingraham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ingraham
Context triple: [Ingram, hasVariant, Ingraham]
  • A. Ingraham chosen
    Ingraham is the surname of Laura Ingraham, a prominent American conservative television host and political commentator.
  • B. Graham
    Graham is a masculine given name of English origin, historically derived from a surname and commonly used in English-speaking countries.
  • C. Graham
    Graham is a small unincorporated community located in Nodaway County, Missouri, United States.
  • D. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • E. Graham
    Graham is the married surname of Magdalen Carnegie, a member of the Scottish noble Carnegie family.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0d33dc81908a4a79abc33355d1 completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:49 p.m.