Triple

T8458824
Position Surface form Disambiguated ID Type / Status
Subject Amanda Clarke E199987 entity
Predicate trainedBy P3665 FINISHED
Object Takeda E735271 NE FINISHED

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: Takeda | Statement: [Amanda Clarke, trainedBy, Takeda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takeda
Context triple: [Amanda Clarke, trainedBy, Takeda]
  • A. Takeda
    Takeda is a member of the elite armored combat unit known as J-Squad in the science fiction film "Edge of Tomorrow."
  • B. Takeda chosen
    Takeda is a mysterious and disciplined mentor figure from the TV series "Revenge," known for training Emily Thorne in combat and strategic vengeance.
  • C. Taishin-in
    Taishin-in was Japan’s prewar highest judicial body, serving as the nation’s supreme court under the Meiji Constitution before being replaced by the modern Supreme Court of Japan.
  • D. Toyotomi Japan
    Toyotomi Japan refers to the late 16th-century Japanese state unified under Toyotomi Hideyoshi, marked by domestic consolidation of power and ambitious overseas military campaigns.
  • E. Takenaka Corporation
    Takenaka Corporation is a major Japanese architecture, engineering, and construction firm known for designing and building prominent structures domestically and internationally.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe49e036c8190abb50ca272266ca6 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39caf4bc8190a1850b2124684a2a completed April 2, 2026, 9:41 a.m.
Created at: March 30, 2026, 6:10 p.m.