Triple

T2715115
Position Surface form Disambiguated ID Type / Status
Subject Luciano Pavarotti E59949 entity
Predicate givenName P17 FINISHED
Object Luciano
Luciano is a masculine given name of Italian origin, famously borne by the renowned operatic tenor Luciano Pavarotti.
 E306977 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: Luciano | Statement: [Luciano Pavarotti, givenName, Luciano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luciano
Context triple: [Luciano Pavarotti, givenName, Luciano]
  • A. Marcello
    Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
  • B. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • C. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • D. Giorgio
    Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
  • E. Emilio
    Emilio is a masculine given name of Spanish and Italian origin, borne by various notable figures including military leaders, artists, and politicians.
  • 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: Luciano
Triple: [Luciano Pavarotti, givenName, Luciano]
Generated description
Luciano is a masculine given name of Italian origin, famously borne by the renowned operatic tenor Luciano Pavarotti.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luciano
Target entity description: Luciano is a masculine given name of Italian origin, famously borne by the renowned operatic tenor Luciano Pavarotti.
  • A. Marcello
    Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
  • B. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • C. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • D. Giorgio
    Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
  • E. Emilio
    Emilio is a masculine given name of Spanish and Italian origin, borne by various notable figures including military leaders, artists, and politicians.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda93a2388190b55a1c821ef6bc64 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0311527188190a034820f4ff30d5a completed March 10, 2026, 2:56 p.m.
NEDg Description generation batch_69b034d9140881909800f0f052fb4f83 completed March 10, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69b035b102b081908b0d9f272ab9c1b1 completed March 10, 2026, 3:16 p.m.
Created at: March 6, 2026, 9:55 p.m.