Triple

T18112536
Position Surface form Disambiguated ID Type / Status
Subject Thomas E433515 entity
Predicate hasVariant P455 FINISHED
Object Tomaž 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: Tomaž | Statement: [Thomas, hasVariant, Tomaž]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tomaž
Context triple: [Thomas, hasVariant, Tomaž]
  • A. Tadej
    Tadej is a masculine given name of Slovene origin, notably borne by Slovenian professional cyclist Tadej Pogačar.
  • B. Tomaž Cesen chosen
    Tomaž Cesen is a Slovenian mountaineer best known for his controversial claimed solo ascent of the south face of Lhotse in the 1990s.
  • C. Anže
    Anže is the Slovene given name of Anže Kopitar, a prominent Slovenian professional ice hockey player and longtime captain of the Los Angeles Kings in the NHL.
  • D. Jožef Tominc
    Jožef Tominc was a 19th-century Slovene-Italian painter known for his refined Biedermeier-style portraits and genre scenes.
  • E. Damijan
    Damijan is a masculine given name, primarily used in Slavic countries, that is a variant of the name Damian.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3422c81908396a21bd53f3e47 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.