Triple

T12839284
Position Surface form Disambiguated ID Type / Status
Subject Frank Rossitano E307003 entity
Predicate worksWith P398 FINISHED
Object Lutz E107498 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: Lutz | Statement: [Frank Rossitano, worksWith, Lutz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lutz
Context triple: [Frank Rossitano, worksWith, Lutz]
  • A. Lutz chosen
    Lutz is a masculine given name of German origin commonly used in German-speaking countries.
  • B. Lutze
    Lutze is a German surname most notably associated with Viktor Lutze, a high-ranking Nazi official and head of the Sturmabteilung (SA) in the 1930s.
  • C. Getzlaf
    Getzlaf is a surname most prominently associated with Canadian former NHL star Ryan Getzlaf, a long-time captain of the Anaheim Ducks.
  • D. Nepela
    Nepela is a Slovak surname most notably associated with Ondrej Nepela, an Olympic and world champion figure skater.
  • E. Lennertz
    Lennertz is a German-origin surname borne by various individuals, including American composer Christopher Lennertz.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff11b4481909fb2f92c46186853 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68edd30e881909062e8f91f614990 completed May 2, 2026, 11:55 p.m.
Created at: April 9, 2026, 5:35 p.m.