Triple

T21162663
Position Surface form Disambiguated ID Type / Status
Subject Transformers (2009 film toyline and related media) E521479 entity
Predicate follows P134 FINISHED
Object Transformers (2007 film toyline and related media) — 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 (2007 film toyline and related media) | Statement: [Transformers (2009 film toyline and related media), follows, Transformers (2007 film toyline and related media)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Transformers (2007 film toyline and related media)
Context triple: [Transformers (2009 film toyline and related media), follows, Transformers (2007 film toyline and related media)]
  • A. Transformers (2009 film toyline and related media)
    Transformers (2009 film toyline and related media) is a merchandise and storytelling line tied to the 2009 live-action film "Transformers: Revenge of the Fallen," encompassing action figures, character tie-ins, and supporting fiction expanding the movie’s universe.
  • B. Transformers (2007 film)
    Transformers (2007 film) is a live-action science fiction action movie directed by Michael Bay that launched the blockbuster film franchise based on Hasbro's transforming robot toy line.
  • C. Transformers
    "Transformers" is a track featured on Warren G's influential West Coast hip hop album *Regulate... G Funk Era*.
  • D. 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.
  • E. 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.
  • 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 (2007 film toyline and related media)
Target entity description: Transformers (2007 film toyline and related media) is a merchandise and multimedia line based on the 2007 live-action Transformers film, featuring action figures, collectibles, and tie-in content that launched the brand’s modern cinematic era.
  • A. Transformers (2009 film toyline and related media)
    Transformers (2009 film toyline and related media) is a merchandise and storytelling line tied to the 2009 live-action film "Transformers: Revenge of the Fallen," encompassing action figures, character tie-ins, and supporting fiction expanding the movie’s universe.
  • B. Transformers (2007 film)
    Transformers (2007 film) is a live-action science fiction action movie directed by Michael Bay that launched the blockbuster film franchise based on Hasbro's transforming robot toy line.
  • C. Transformers
    "Transformers" is a track featured on Warren G's influential West Coast hip hop album *Regulate... G Funk Era*.
  • D. 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.
  • E. 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.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72532e9348190ad37fe858843d0f5 completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:59 p.m.