Triple

T12363857
Position Surface form Disambiguated ID Type / Status
Subject Mike Gabriel E294810 entity
Predicate workedOn P3 FINISHED
Object Lorenzo E145530 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: Lorenzo | Statement: [Mike Gabriel, workedOn, Lorenzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorenzo
Context triple: [Mike Gabriel, workedOn, Lorenzo]
  • A. Lorenzo chosen
    Lorenzo is a masculine given name of Italian origin, historically borne by notable figures such as the Renaissance humanist Lorenzo Valla.
  • B. Piero
    Piero was a common given name among members of the powerful Medici family that ruled Florence during the Renaissance.
  • C. Giovanni
    Giovanni is a Brazilian attacking midfielder best known for his creative playmaking and successful spell at Santos FC in the 1990s.
  • D. Giovanni
    Giovanni is the birth name of Pope Pius IX, the 19th-century head of the Catholic Church and the longest-reigning elected pope.
  • E. Giovanni
    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.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa3f958819080555bcae9958a53 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684d0315c8190988431785a7b1e1e completed May 2, 2026, 11:12 p.m.
Created at: April 8, 2026, 9:54 p.m.