Triple

T12096255
Position Surface form Disambiguated ID Type / Status
Subject Frank Spotnitz E288077 entity
Predicate coCreatorOf P806 FINISHED
Object Leonardo E964967 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: Leonardo | Statement: [Frank Spotnitz, coCreatorOf, Leonardo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonardo
Context triple: [Frank Spotnitz, coCreatorOf, Leonardo]
  • A. Leonardo
    Leonardo is the first name of Leonardo DiCaprio, the acclaimed American actor and environmental activist known for films such as Titanic and Inception.
  • B. Leonardo
    Leonardo is the katana-wielding, blue-masked leader of the Teenage Mutant Ninja Turtles in the popular comic, TV, and film franchise.
  • C. Leonardo chosen
    "Leonardo" is a historical drama television series that explores the life, genius, and mysteries surrounding Renaissance artist and inventor Leonardo da Vinci.
  • D. Leonardo da Vinci
    Leonardo da Vinci was a Renaissance polymath renowned as a master painter, inventor, scientist, and engineer whose works and ideas profoundly influenced art and science.
  • E. Leonardo Vetra
    Leonardo Vetra is a fictional CERN physicist and priest in Dan Brown's novel "Angels & Demons," known for his groundbreaking antimatter research and as the adoptive father of Vittoria Vetra.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91552645c81909aff601ab3d3c0e6 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a6f22cc8190ba12c910c5ef5868 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:48 p.m.