Triple

T2081453
Position Surface form Disambiguated ID Type / Status
Subject Constantino Tsallis E45251 entity
Predicate familyName P18 FINISHED
Object Tsallis
Tsallis is a Brazilian physicist best known for formulating Tsallis statistics, a generalization of Boltzmann–Gibbs statistical mechanics used to describe complex systems.
E231466 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: Tsallis | Statement: [Constantino Tsallis, familyName, Tsallis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsallis
Context triple: [Constantino Tsallis, familyName, Tsallis]
  • A. Lifshitz
    Lifshitz is the original family surname of American fashion designer and business magnate Ralph Lauren.
  • B. Accla Taqui
    Accla Taqui is a musical track featured on the album "Legend of the Sun Virgin," known for its Andean-inspired, folkloric sound.
  • C. Squantum
    Squantum is a coastal neighborhood of Quincy, Massachusetts, known for its residential character, waterfront views, and proximity to Boston.
  • D. Guralnik
    Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
  • E. Zenta
    Zenta is a historic town in northern Serbia, best known as the site of a decisive 1697 battle between the Habsburg Monarchy and the Ottoman Empire.
  • 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: Tsallis
Triple: [Constantino Tsallis, familyName, Tsallis]
Generated description
Tsallis is a Brazilian physicist best known for formulating Tsallis statistics, a generalization of Boltzmann–Gibbs statistical mechanics used to describe complex systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tsallis
Target entity description: Tsallis is a Brazilian physicist best known for formulating Tsallis statistics, a generalization of Boltzmann–Gibbs statistical mechanics used to describe complex systems.
  • A. Lifshitz
    Lifshitz is the original family surname of American fashion designer and business magnate Ralph Lauren.
  • B. Accla Taqui
    Accla Taqui is a musical track featured on the album "Legend of the Sun Virgin," known for its Andean-inspired, folkloric sound.
  • C. Squantum
    Squantum is a coastal neighborhood of Quincy, Massachusetts, known for its residential character, waterfront views, and proximity to Boston.
  • D. Guralnik
    Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
  • E. Zenta
    Zenta is a historic town in northern Serbia, best known as the site of a decisive 1697 battle between the Habsburg Monarchy and the Ottoman Empire.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba35c2588190933dba882f52dd17 completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae273ad87c8190a7b1407868692202 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae27b2c9d08190b1950abd8d41d3b3 completed March 9, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae2817ce3c81908e48170760cf98ef completed March 9, 2026, 1:53 a.m.
Created at: March 4, 2026, 7:41 p.m.