Triple

T18589186
Position Surface form Disambiguated ID Type / Status
Subject Ravage E454312 entity
Predicate toyLine P63394 FINISHED
Object Transformers: Generation 1 toys 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: Generation 1 toys | Statement: [Ravage, toyLine, Transformers: Generation 1 toys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Transformers: Generation 1 toys
Context triple: [Ravage, toyLine, Transformers: Generation 1 toys]
  • A. Transformers: Generation 1 toys chosen
    Transformers: Generation 1 toys is the original 1980s toyline that launched the Transformers franchise, featuring the first iconic transforming robot figures.
  • B. Transformers: Studio Series toys
    Transformers: Studio Series toys is a collector-focused action figure line by Hasbro and Takara Tomy that recreates characters and scenes from the Transformers films with screen-accurate designs and detailed engineering.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b4a2a0819098047ee81278bd9d completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.