Triple

T21162288
Position Surface form Disambiguated ID Type / Status
Subject Scrapper E521470 entity
Predicate mediaAppearance P997 FINISHED
Object Transformers video games 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: Transformers video games | Statement: [Scrapper, mediaAppearance, Transformers video games]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Transformers video games
Context triple: [Scrapper, mediaAppearance, Transformers video games]
  • A. Transformers video games chosen
    Transformers video games are a series of action titles based on the Transformers franchise, featuring robot characters that can transform into vehicles and other forms in combat-driven adventures.
  • B. Transformers: The Game
    Transformers: The Game is an action video game adaptation of the 2007 live-action Transformers film, allowing players to control Autobots and Decepticons in destructible open environments.
  • 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.
  • 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_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.