Triple

T23501086
Position Surface form Disambiguated ID Type / Status
Subject Maurizio Lupi E571844 entity
Predicate familyName P18 FINISHED
Object Lupi
Lupi is an Italian surname most notably borne by Maurizio Lupi, a prominent Italian politician.
E1588670 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: Lupi | Statement: [Maurizio Lupi, familyName, Lupi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lupi
Context triple: [Maurizio Lupi, familyName, Lupi]
  • A. Luppi
    Luppi is a surname most notably associated with Argentine actor Federico Luppi, renowned for his work in Latin American and Spanish cinema.
  • B. Mu Lupi
    Mu Lupi is a star located in the southern constellation Lupus.
  • C. Loup
    The Loup is a river in southeastern France that flows through the Alpes-Maritimes department, known for its scenic gorges and popular outdoor recreation areas.
  • D. Lobo
    Lobo is a surname most prominently associated with Rebecca Lobo, a former American professional basketball player and Hall of Famer.
  • E. Lobo
    Lobo is a hulking, mute henchman in Ed Wood’s 1955 cult horror film "Bride of the Monster," portrayed by Tor Johnson as the lumbering assistant to the mad scientist Dr. Vornoff.
  • 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: Lupi
Triple: [Maurizio Lupi, familyName, Lupi]
Generated description
Lupi is an Italian surname most notably borne by Maurizio Lupi, a prominent Italian politician.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lupi
Target entity description: Lupi is an Italian surname most notably borne by Maurizio Lupi, a prominent Italian politician.
  • A. Luppi
    Luppi is a surname most notably associated with Argentine actor Federico Luppi, renowned for his work in Latin American and Spanish cinema.
  • B. Mu Lupi
    Mu Lupi is a star located in the southern constellation Lupus.
  • C. Loup
    The Loup is a river in southeastern France that flows through the Alpes-Maritimes department, known for its scenic gorges and popular outdoor recreation areas.
  • D. Lobo
    Lobo is a surname most prominently associated with Rebecca Lobo, a former American professional basketball player and Hall of Famer.
  • E. Lobo
    Lobo is a violent, wisecracking intergalactic bounty hunter and antihero from DC Comics known for his immense strength, regenerative abilities, and over-the-top brutality.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8fc37908190af86a01ab85737d6 completed April 29, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c8275e2bc8190a908d41a9824f2f8 completed May 19, 2026, 3:32 p.m.
NEDg Description generation batch_6a0ca6f229308190bf72b52fd44144d3 completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca7e9e9988190ac3bedb9ecb8ce06 completed May 19, 2026, 6:11 p.m.
Created at: April 17, 2026, 6:06 p.m.