Triple

T17990837
Position Surface form Disambiguated ID Type / Status
Subject Flickering Lights E430364 entity
Predicate mainCharacter P1183 FINISHED
Object Stefan 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: Stefan | Statement: [Flickering Lights, mainCharacter, Stefan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stefan
Context triple: [Flickering Lights, mainCharacter, Stefan]
  • A. Stefan
    Stefan is the protagonist of Eoin Colfer’s science-fiction novel "The Supernaturalist," a teenage boy who can see and combat parasitic creatures draining human life force in a dystopian future city.
  • B. Stefan chosen
    Stefan is a masculine given name of Slavic origin, commonly used in many European countries as a variant of Stephen.
  • C. Stefan
    Stefan is the given name of Saint Simeon the Myrrh-streaming, a revered medieval Serbian ruler and Orthodox Christian saint.
  • D. Stefan Reinhardt
    Stefan Reinhardt is a notable individual who shares the Reinhardt surname, recognized as a distinguished bearer of that family name.
  • E. Stefan Rafael Benjamin
    Stefan Rafael Benjamin was the son of the German Jewish philosopher and cultural critic Walter Benjamin.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29f127c81908b0c4cb3787e002c completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.