Triple

T20682967
Position Surface form Disambiguated ID Type / Status
Subject Philip Neri E508342 entity
Predicate familyName P18 FINISHED
Object Neri NE NERFINISHED

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: Neri | Statement: [Philip Neri, familyName, Neri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neri
Context triple: [Philip Neri, familyName, Neri]
  • A. Neri chosen
    Neri is an Italian surname most notably associated with Saint Philip Neri, a 16th-century Catholic priest and founder of the Congregation of the Oratory.
  • B. Nigro
    Nigro is the surname of American singer-songwriter Laura Nyro, known for her influential work in pop, soul, and jazz-influenced music of the late 1960s and 1970s.
  • C. Nerio
    Nerio is an Italian masculine given name of ancient origin, historically borne by several notable figures including medieval nobles.
  • D. Nera
    Nera is a river in central Italy that flows through the regions of Umbria and Lazio before joining the Tiber.
  • E. Nicolosi
    Nicolosi is a Sicilian town known as a main gateway and base for excursions to Mount Etna.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6bea9771881908a077d01f53f6d52 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:45 a.m.