Triple

T21727200
Position Surface form Disambiguated ID Type / Status
Subject George Moran E536303 entity
Predicate spouse P13 FINISHED
Object Tatiana Schlossberg 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: Tatiana Schlossberg | Statement: [George Moran, spouse, Tatiana Schlossberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tatiana Schlossberg
Context triple: [George Moran, spouse, Tatiana Schlossberg]
  • A. Tatiana Schlossberg chosen
    Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
  • B. Tatiana Blatnik
    Tatiana Blatnik is a Venezuelan-born public relations specialist and author who became a member of the former Greek royal family through her marriage to Prince Nikolaos of Greece and Denmark.
  • C. Tatiana Schucht
    Tatiana Schucht was an Italian-Russian revolutionary and close confidante of Antonio Gramsci, known for her role in supporting him during his imprisonment.
  • D. Evgenia Citkowitz
    Evgenia Citkowitz is an American-born British writer and heiress known for her work as an author and for her marriage to the late actor Julian Sands.
  • E. Sofia Rosinsky
    Sofia Rosinsky is an American actress best known for her starring role in the science fiction television series "Paper Girls."
  • 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd973ac648190bb09e20ac1be2d9b completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:48 p.m.