Triple

T19087078
Position Surface form Disambiguated ID Type / Status
Subject Pio Manzù E467178 entity
Predicate givenName P17 FINISHED
Object Pio
Pio is the given name of Italian industrial designer Pio Manzù, known for his influential work in automotive and product design in the 1960s.
E1357179 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: Pio | Statement: [Pio Manzù, givenName, Pio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pio
Context triple: [Pio Manzù, givenName, Pio]
  • A. Pio
    Pio is the costumed mascot representing the athletic teams and school spirit of Lewis & Clark College.
  • B. Pomio
    Pomio is a coastal town and administrative center located in the remote southeastern part of East New Britain Province in Papua New Guinea.
  • C. Poco
    Poco is an American country rock band formed in the late 1960s, known as a pioneering group in the development of the country rock genre.
  • D. Pipero
    Pipero is an alternative name for Pero, likely referring to the same individual or character known primarily as Pero.
  • E. Pai
    Pai is the given name of Peng Pai, a prominent early 20th-century Chinese revolutionary and pioneer of the peasant movement.
  • 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: Pio
Triple: [Pio Manzù, givenName, Pio]
Generated description
Pio is the given name of Italian industrial designer Pio Manzù, known for his influential work in automotive and product design in the 1960s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pio
Target entity description: Pio is the given name of Italian industrial designer Pio Manzù, known for his influential work in automotive and product design in the 1960s.
  • A. Pio
    Pio is the costumed mascot representing the athletic teams and school spirit of Lewis & Clark College.
  • B. Pomio
    Pomio is a coastal town and administrative center located in the remote southeastern part of East New Britain Province in Papua New Guinea.
  • C. Poco
    Poco is an American country rock band formed in the late 1960s, known as a pioneering group in the development of the country rock genre.
  • D. Pipero
    Pipero is an alternative name for Pero, likely referring to the same individual or character known primarily as Pero.
  • E. Pai
    Pai is the given name of Peng Pai, a prominent early 20th-century Chinese revolutionary and pioneer of the peasant movement.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e348c980819096667ee6e7a7f36f completed April 20, 2026, 8:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05d368740c81909ec738532cd670bf completed May 14, 2026, 1:51 p.m.
NEDg Description generation batch_6a05d4ff70d0819089a00de0404768a4 completed May 14, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a05d58227188190928741f15b685cb0 completed May 14, 2026, 2 p.m.
Created at: April 10, 2026, 12:04 p.m.