Triple

T19733072
Position Surface form Disambiguated ID Type / Status
Subject Nicola Cabibbo E473903 entity
Predicate familyName P18 FINISHED
Object Cabibbo
Cabibbo is an Italian surname most notably associated with physicist Nicola Cabibbo, known for his pioneering work in particle physics and the Cabibbo angle.
E1393304 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: Cabibbo | Statement: [Nicola Cabibbo, familyName, Cabibbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cabibbo
Context triple: [Nicola Cabibbo, familyName, Cabibbo]
  • A. Rubbia
    Rubbia is the surname of Carlo Rubbia, an Italian physicist and Nobel laureate known for his contributions to particle physics.
  • B. Guralnik
    Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
  • C. Kaon
    Kaon is a major Decepticon-controlled city on Cybertron in the Transformers: War for Cybertron universe, often depicted as Megatron’s stronghold and a center of conflict.
  • D. Meson
    Meson is a fast, user-friendly build system designed to simplify and accelerate the compilation of software projects.
  • E. Pontecorvo
    Pontecorvo is a historic town in central Italy’s Lazio region, known for its medieval architecture and strategic position along the Liri River.
  • 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: Cabibbo
Triple: [Nicola Cabibbo, familyName, Cabibbo]
Generated description
Cabibbo is an Italian surname most notably associated with physicist Nicola Cabibbo, known for his pioneering work in particle physics and the Cabibbo angle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cabibbo
Target entity description: Cabibbo is an Italian surname most notably associated with physicist Nicola Cabibbo, known for his pioneering work in particle physics and the Cabibbo angle.
  • A. Rubbia
    Rubbia is the surname of Carlo Rubbia, an Italian physicist and Nobel laureate known for his contributions to particle physics.
  • B. Guralnik
    Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
  • C. Kaon
    Kaon is a major Decepticon-controlled city on Cybertron in the Transformers: War for Cybertron universe, often depicted as Megatron’s stronghold and a center of conflict.
  • D. Meson
    Meson is a fast, user-friendly build system designed to simplify and accelerate the compilation of software projects.
  • E. Pontecorvo
    Pontecorvo is a historic town in central Italy’s Lazio region, known for its medieval architecture and strategic position along the Liri River.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e651596b98819090bcaf05c7b74555 completed April 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b4f4e1e081908fca0b6513bb3bbb completed May 16, 2026, 12:06 a.m.
NEDg Description generation batch_6a07b73cc5a48190af0ab9da30c859b4 completed May 16, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_6a07b81193d081908dfb19272b4df41b completed May 16, 2026, 12:19 a.m.
Created at: April 10, 2026, 1:47 p.m.