Triple

T16377357
Position Surface form Disambiguated ID Type / Status
Subject Fernando Pessoa E397710 entity
Predicate familyName P18 FINISHED
Object Pessoa E397710 NE FINISHED

How this triple was built (2 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: Pessoa | Statement: [Fernando Pessoa, familyName, Pessoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pessoa
Context triple: [Fernando Pessoa, familyName, Pessoa]
  • A. Pessoa chosen
    Pessoa is a common Portuguese surname most famously associated with the modernist writer Fernando Pessoa.
  • B. Persona
    Persona is a 1966 Swedish psychological drama film by Ingmar Bergman, renowned for its experimental narrative, intense character study, and exploration of identity and reality.
  • C. Piersonn
    Piersonn is a variant spelling of the surname Pierson, which is of English and French origin and typically means "son of Piers" or "son of Peter."
  • D. Person
    A Person is an individual human being who can be identified as a creator, contributor, or subject in bibliographic and information systems.
  • E. Persons
    Persons is the family name of Truman Streckfus Persons, better known as the American writer Truman Capote.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319d8a40c8190af37e7ed60b9c4dd completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356406208190a9cedc1de2ab4e07 completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.