Triple

T15909944
Position Surface form Disambiguated ID Type / Status
Subject TGS with Tracy Jordan E385818 entity
Predicate hasFictionalCastMember P114999 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: [TGS with Tracy Jordan, hasFictionalCastMember, Lutz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lutz
Context triple: [TGS with Tracy Jordan, hasFictionalCastMember, 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. Liepe
    Liepe is a small municipality in the district of Barnim in the German state of Brandenburg.
  • D. Getzlaf
    Getzlaf is a surname most prominently associated with Canadian former NHL star Ryan Getzlaf, a long-time captain of the Anaheim Ducks.
  • E. Nepela
    Nepela is a Slovak surname most notably associated with Ondrej Nepela, an Olympic and world champion figure skater.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1828cd83c8190a3e15cccc8342c1f completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb05750ac81908860143f4ca26cc7 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.