Triple

T17863443
Position Surface form Disambiguated ID Type / Status
Subject Shazad Latif as Ash Tyler E446129 entity
Predicate hasAliasInStory P61831 FINISHED
Object Voq 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: Voq | Statement: [Shazad Latif as Ash Tyler, hasAliasInStory, Voq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Voq
Context triple: [Shazad Latif as Ash Tyler, hasAliasInStory, Voq]
  • A. Voq chosen
    Voq is a Klingon albino outcast and religious zealot from Star Trek: Discovery who undergoes radical surgery and memory alteration to become the human Starfleet officer known as Ash Tyler.
  • B. VOZ
    VOZ is the IATA airport code for Voronezh Peter the Great Airport in Voronezh, Russia.
  • C. VOZ
    VOZ is the ICAO airline designator used to identify Virgin Australia in international aviation operations.
  • D. VOG
    VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
  • E. VOH
    VOH is the vehicle registration code used on license plates for the district of Neustadt an der Waldnaab in Bavaria, Germany.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e49791b0c08190b04a426bd274065d completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.