Triple

T5281702
Position Surface form Disambiguated ID Type / Status
Subject Philip Neri E119512 entity
Predicate familyName P18 FINISHED
Object Neri
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.
E508342 NE FINISHED

How this triple was built (4 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. Nera
    Nera is a river in central Italy that flows through the regions of Umbria and Lazio before joining the Tiber.
  • B. Nicolosi
    Nicolosi is a Sicilian town known as a main gateway and base for excursions to Mount Etna.
  • C. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • D. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • E. Bruschi
    Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Neri
Triple: [Philip Neri, familyName, Neri]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Neri
Target entity description: 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.
  • A. Nera
    Nera is a river in central Italy that flows through the regions of Umbria and Lazio before joining the Tiber.
  • B. Nicolosi
    Nicolosi is a Sicilian town known as a main gateway and base for excursions to Mount Etna.
  • C. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • D. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • E. Bruschi
    Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
  • F. None of above. chosen

Provenance (5 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84c5212481909cb3b5f43c0eedc0 completed March 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06e27b5081908b755a817d4c260a completed March 21, 2026, 9 p.m.
NEDg Description generation batch_69bf08bf26448190bd3a3f632ea79d85 completed March 21, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69bf091f09f88190aa382387e6b94662 completed March 21, 2026, 9:09 p.m.
Created at: March 20, 2026, 1:52 p.m.