Triple

T17885441
Position Surface form Disambiguated ID Type / Status
Subject Dakotaverse E447187 entity
Predicate featuresCharacter P626 FINISHED
Object Xombi 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: Xombi | Statement: [Dakotaverse, featuresCharacter, Xombi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xombi
Context triple: [Dakotaverse, featuresCharacter, Xombi]
  • A. Xombi chosen
    Xombi is a Milestone Media comic book series that follows an immortal, nanotechnology-enhanced man battling supernatural and horror-themed threats.
  • B. Zabivaka
    Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
  • C. Zombi
    Zombi is the Italian title and cut of George A. Romero’s 1978 horror film "Dawn of the Dead," notable for its graphic gore and influential role in zombie cinema.
  • D. Ghoul
    Ghoul is a horror film featuring Nolan Gould in its cast.
  • E. Zombodze
    Zombodze is a royal settlement in Eswatini historically associated with the Swazi monarchy and the birthplace of King Sobhuza II.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c123748819091bf46178105079b completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.