Triple

T18640374
Position Surface form Disambiguated ID Type / Status
Subject Paulina Longworth E455668 entity
Predicate givenName P17 FINISHED
Object Paulina NE NERFINISHED

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: Paulina | Statement: [Paulina Longworth, givenName, Paulina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paulina
Context triple: [Paulina Longworth, givenName, Paulina]
  • A. Paulina chosen
    Paulina is a feminine given name of Latin origin, commonly used in various European and Spanish-speaking countries.
  • B. Paulina
    Paulina is a Chicago 'L' rapid transit station on the Brown Line located in the Lakeview neighborhood.
  • C. Rosalinda
    Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
  • D. Clorinda
    Clorinda is a border city in northeastern Argentina’s Formosa Province, located opposite Asunción, Paraguay, and serving as an important regional commercial and transport hub.
  • E. Clorinda
    Clorinda is a heroic warrior woman in Torquato Tasso’s epic poem "Gerusalemme liberata," renowned for her valor, tragic fate, and complex relationship with the Christian knight Tancredi.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fcbe3088190849f60b09d1e7e4b completed April 19, 2026, 9:57 p.m.
Created at: April 10, 2026, 11:47 a.m.