Triple

T13479414
Position Surface form Disambiguated ID Type / Status
Subject Dutch Wagenbach E318331 entity
Predicate colleague P398 FINISHED
Object Lemansky E315714 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: Lemansky | Statement: [Dutch Wagenbach, colleague, Lemansky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lemansky
Context triple: [Dutch Wagenbach, colleague, Lemansky]
  • A. Lemansky chosen
    Lemansky is a central character on the television crime drama "The Shield," known as a member of Vic Mackey’s corrupt Strike Team.
  • B. Kamensky
    Kamensky is a Russian surname most notably associated with former professional ice hockey player Valeri Kamensky.
  • C. Tatischeff
    Tatischeff is the original family surname of French filmmaker and actor Jacques Tati, known for his influential comedic films and the character Monsieur Hulot.
  • D. Leman Tomsu
    Leman Tomsu was a pioneering Turkish architect and one of the first female architects in Turkey.
  • E. Menzel
    Menzel is a locality or district that forms part of the town of Rüthen in North Rhine-Westphalia, Germany.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf266c508190930d30776c09ce35 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463340fc8190b1128bd1d26f91ab completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.