Triple

T14580679
Position Surface form Disambiguated ID Type / Status
Subject Raphael De Niro E342183 entity
Predicate givenName P17 FINISHED
Object Raphael E874297 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: Raphael | Statement: [Raphael De Niro, givenName, Raphael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raphael
Context triple: [Raphael De Niro, givenName, Raphael]
  • A. Raphael
    Raphael is an archangel in Judeo-Christian tradition, often associated with healing, guidance, and protection.
  • B. Raphael chosen
    Raphael is a common masculine given name of Hebrew origin meaning "God has healed," borne by numerous notable figures including artists, scientists, and religious leaders.
  • C. Raphael
    Raphael was a master Italian High Renaissance painter and architect renowned for his harmonious compositions and influential work in both painting and church design.
  • D. Raphael
    Raphael is the hot-headed, sai-wielding Ninja Turtle known for his toughness, impulsive nature, and fierce loyalty to his brothers.
  • E. Raffaellino da Reggio
    Raffaellino da Reggio was a late 16th-century Italian Mannerist painter known for his fresco decorations in prominent Roman palaces and churches.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f6f78c81908a30ecb4c025299d completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb76fb58819088e5a0101143a401 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:24 a.m.