Triple

T19520378
Position Surface form Disambiguated ID Type / Status
Subject Maximals E488385 entity
Predicate mediaAppearance P997 FINISHED
Object Transformers: Universe (toyline and fiction) — NE NERFINISHED

How this triple was built (3 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: Transformers: Universe (toyline and fiction) | Statement: [Maximals, mediaAppearance, Transformers: Universe (toyline and fiction)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Transformers: Universe (toyline and fiction)
Context triple: [Maximals, mediaAppearance, Transformers: Universe (toyline and fiction)]
  • A. Transformers: War for Cybertron Trilogy
    Transformers: War for Cybertron Trilogy is a CGI-animated Transformers series on Netflix that reimagines the civil war between Autobots and Decepticons on Cybertron across three interconnected chapters.
  • B. Transformers: Studio Series
    Transformers: Studio Series is a Hasbro and Takara Tomy toy line that recreates characters and scenes from the live-action Transformers films with screen-accurate, highly detailed action figures.
  • C. Transformers
    Transformers is a blockbuster science fiction action franchise centered on sentient robots that can transform into vehicles and other objects, spanning films, television series, comics, and merchandise.
  • D. Transformers
    "Transformers" is a track featured on Warren G's influential West Coast hip hop album *Regulate... G Funk Era*.
  • E. Transformers
    Transformers is a popular open-source deep learning library by Hugging Face focused on state-of-the-art natural language processing and transformer-based models.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Transformers: Universe (toyline and fiction)
Target entity description: Transformers: Universe (toyline and fiction) is a Transformers franchise subline that unites and reimagines characters from across different continuities, including the Maximals, in a multiverse-themed toy and story collection.
  • A. Transformers: War for Cybertron Trilogy
    Transformers: War for Cybertron Trilogy is a CGI-animated Transformers series on Netflix that reimagines the civil war between Autobots and Decepticons on Cybertron across three interconnected chapters.
  • B. Transformers: Studio Series
    Transformers: Studio Series is a Hasbro and Takara Tomy toy line that recreates characters and scenes from the live-action Transformers films with screen-accurate, highly detailed action figures.
  • C. Transformers
    Transformers is a blockbuster science fiction action franchise centered on sentient robots that can transform into vehicles and other objects, spanning films, television series, comics, and merchandise.
  • D. Transformers
    "Transformers" is a track featured on Warren G's influential West Coast hip hop album *Regulate... G Funk Era*.
  • E. Transformers
    Transformers is a popular open-source deep learning library by Hugging Face focused on state-of-the-art natural language processing and transformer-based models.
  • F. None of above. chosen

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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6359feb808190ba94563831adc720 completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.