Triple

T20772657
Position Surface form Disambiguated ID Type / Status
Subject Transformers: Generation 1 toys E511274 entity
Predicate basedOn P98 FINISHED
Object Microman 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: Microman | Statement: [Transformers: Generation 1 toys, basedOn, Microman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Microman
Context triple: [Transformers: Generation 1 toys, basedOn, Microman]
  • A. Microman chosen
    Microman is a Japanese toy line created by Takara featuring highly articulated, small-scale action figures that inspired later transforming and collectible figure franchises.
  • B. Minitari
    Minitari is another name for the Hidatsa, a Native American people historically living along the upper Missouri River in what is now North Dakota.
  • C. MICRO
    MICRO is a leading annual international conference focused on microarchitecture and advanced computer architecture research.
  • D. Smikrines
    Smikrines is a central character in Menander’s ancient Greek comedy "Epitrepontes," typically portrayed as a curmudgeonly, miserly old man whose attitudes drive much of the play’s conflict.
  • E. Minimus
    Minimus is a friendly flying horse who serves as Princess Sofia’s loyal steed and companion in the animated series "Sofia the First."
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2681ff88190bfe5938c2db6b2c4 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:37 p.m.