Triple

T21278010
Position Surface form Disambiguated ID Type / Status
Subject Transformers: Combiner Wars E524441 entity
Predicate mediaPlatform P20647 FINISHED
Object go90 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: go90 | Statement: [Transformers: Combiner Wars, mediaPlatform, go90]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: go90
Context triple: [Transformers: Combiner Wars, mediaPlatform, go90]
  • A. go90 chosen
    go90 was a now-defunct American mobile video streaming service owned by Verizon that offered live and on-demand sports, entertainment, and original programming.
  • B. GO
    GO is the vehicle registration code used on license plates for vehicles registered in the Province of Gorizia in northeastern Italy.
  • C. goje
    The goje is a traditional West African one-stringed bowed lute commonly used by griots and in genres like Fújì music to provide melodic accompaniment.
  • D. go!
    go! was a low-cost inter-island airline brand that operated in Hawaii, offering short-haul flights between the major Hawaiian Islands.
  • E. GOJ
    GOJ is the IATA airport code for Strigino International Airport serving Nizhny Novgorod, Russia.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73658f598819098a1192abfa40a12 completed April 21, 2026, 8:33 a.m.
Created at: April 16, 2026, 4:02 p.m.