Triple

T4983129
Position Surface form Disambiguated ID Type / Status
Subject Massimo D'Alema E111935 entity
Predicate givenName P17 FINISHED
Object Massimo
Massimo is an Italian given name commonly used for men, notably borne by figures such as former Prime Minister Massimo D'Alema.
E39615 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: Massimo | Statement: [Massimo D'Alema, givenName, Massimo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Massimo
Context triple: [Massimo D'Alema, givenName, Massimo]
  • A. Amedeo
    Amedeo is an Italian given name most famously borne by the scientist Amedeo Avogadro, known for Avogadro's law and Avogadro's number in chemistry.
  • B. Sandro
    Sandro is a common Italian given name, typically used as a diminutive or short form of Alessandro.
  • C. Massimo Polidoro
    Massimo Polidoro is an Italian psychologist, writer, and prominent skeptic known for investigating paranormal claims and promoting scientific skepticism, notably as a co-founder and leading figure of the Italian skeptics organization CICAP.
  • D. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • E. Fuselli
    Fuselli is a central fictional character in the World War I novel "Active Service" by Stephen Crane, representing the experiences and attitudes of an ordinary soldier.
  • 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: Massimo
Triple: [Massimo D'Alema, givenName, Massimo]
Generated description
Massimo is an Italian given name commonly used for men, notably borne by figures such as former Prime Minister Massimo D'Alema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Massimo
Target entity description: Massimo is an Italian given name commonly used for men, notably borne by figures such as former Prime Minister Massimo D'Alema.
  • A. Amedeo
    Amedeo is an Italian given name most famously borne by the scientist Amedeo Avogadro, known for Avogadro's law and Avogadro's number in chemistry.
  • B. Sandro
    Sandro is a common Italian given name, typically used as a diminutive or short form of Alessandro.
  • C. Massimo Polidoro chosen
    Massimo Polidoro is an Italian psychologist, writer, and prominent skeptic known for investigating paranormal claims and promoting scientific skepticism, notably as a co-founder and leading figure of the Italian skeptics organization CICAP.
  • D. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • E. Fuselli
    Fuselli is a central fictional character in the World War I novel "Active Service" by Stephen Crane, representing the experiences and attitudes of an ordinary soldier.
  • F. None of above.

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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd725489bc81908f660332e25f29cf completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a13f5448190a49f914d1ba49a7a completed March 21, 2026, 12:07 p.m.
NEDg Description generation batch_69be8a9c72848190978797a33d0d83c8 completed March 21, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69be8b3718288190b2fc319fdad0a7c0 completed March 21, 2026, 12:12 p.m.
Created at: March 20, 2026, 1:33 p.m.