Triple

T16193923
Position Surface form Disambiguated ID Type / Status
Subject Raimondi E393010 entity
Predicate hasPluralForm P5088 FINISHED
Object Raimondi E393010 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: Raimondi | Statement: [Raimondi, hasPluralForm, Raimondi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raimondi
Context triple: [Raimondi, hasPluralForm, Raimondi]
  • A. Raimondi chosen
    Raimondi is an Italian surname borne by various notable figures in fields such as science, the arts, and public life.
  • B. Markkula
    Markkula is a Finnish surname most notably associated with Mike Markkula, an early investor and executive at Apple Inc.
  • C. Raskin
    Raskin is a surname most notably associated with Jef Raskin, the human–computer interface expert who initiated the Macintosh project at Apple.
  • D. Oberholtzer
    Oberholtzer is a German-origin surname, often associated with Mennonite and Amish families, that serves as a variant of the Overholt family name.
  • E. Victor Raimondi
    Victor Raimondi is the central male protagonist in the film "The Girl Who Had Everything," serving as the romantic interest whose involvement complicates the life of the seemingly privileged heroine.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d74d788190a637fdb9b4f184b9 completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0bfd08819083afc4bea1b99aad completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.