Triple

T894002
Position Surface form Disambiguated ID Type / Status
Subject John E19301 entity
Predicate hasVariant P455 FINISHED
Object Giovanni E76149 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: Giovanni | Statement: [John, hasVariant, Giovanni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giovanni
Context triple: [John, hasVariant, Giovanni]
  • A. Giovanni chosen
    Giovanni was the birth name of Pope Leo X, the influential early 16th-century head of the Catholic Church and a prominent patron of Renaissance art and culture.
  • B. Giovanni
    Giovanni was the birth name of Pope Julius III, a 16th-century head of the Catholic Church and ruler of the Papal States.
  • C. Giacomo
    Giacomo is the Italian form of the given name James, commonly used as a male first name in Italy.
  • D. Pietro
    Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
  • E. Giuseppe
    Giuseppe is an Italian masculine given name, equivalent to Joseph in English and widely used across Italy and among Italian communities worldwide.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad212cd8819091eb1b7d606f5afd completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4bfe2ce081908c358689ec2c58e6 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:39 p.m.