Triple

T2467542
Position Surface form Disambiguated ID Type / Status
Subject Lino Lacedelli E55287 entity
Predicate givenName P17 FINISHED
Object Lino
Lino is an Italian masculine given name, often used as a short form of names like Lino Lacedelli.
E270056 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: Lino | Statement: [Lino Lacedelli, givenName, Lino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lino
Context triple: [Lino Lacedelli, givenName, Lino]
  • A. Riggo
    Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
  • B. Sandro
    Sandro is a common Italian given name, typically used as a diminutive or short form of Alessandro.
  • C. Alvito
    Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
  • D. Renzo
    Renzo is the given name of Renzo Piano, the renowned Italian architect known for designing landmark buildings such as the Centre Pompidou in Paris and The Shard in London.
  • E. Marcello
    Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
  • 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: Lino
Triple: [Lino Lacedelli, givenName, Lino]
Generated description
Lino is an Italian masculine given name, often used as a short form of names like Lino Lacedelli.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lino
Target entity description: Lino is an Italian masculine given name, often used as a short form of names like Lino Lacedelli.
  • A. Riggo
    Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
  • B. Sandro
    Sandro is a common Italian given name, typically used as a diminutive or short form of Alessandro.
  • C. Alvito
    Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
  • D. Renzo
    Renzo is the given name of Renzo Piano, the renowned Italian architect known for designing landmark buildings such as the Centre Pompidou in Paris and The Shard in London.
  • E. Marcello
    Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd13310a8819095fd70672f933aa3 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af179f90e881909c09edb961b13a75 completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af195ec8788190ae2f94f7cd86e605 completed March 9, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_69af1a28591c8190ab4f3dca260766f5 completed March 9, 2026, 7:06 p.m.
Created at: March 6, 2026, 9:44 p.m.