Triple

T5675616
Position Surface form Disambiguated ID Type / Status
Subject Metabolism (architecture) E125077 entity
Predicate hasKeyFigure P810 FINISHED
Object Masato Otaka E525363 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: Masato Otaka | Statement: [Metabolism (architecture), hasKeyFigure, Masato Otaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masato Otaka
Context triple: [Metabolism (architecture), hasKeyFigure, Masato Otaka]
  • A. Masato Otaka chosen
    Masato Otaka is a Japanese architect associated with the Metabolism movement, known for his contributions to postwar urban planning and visionary megastructure designs.
  • B. Masashi Shinohara
    Masashi Shinohara is a Japanese suit actor and performer known for portraying kaiju characters in the Godzilla and related tokusatsu film series.
  • C. Kenta Satō
    Kenta Satō is a Japanese individual notable enough to be recognized as a bearer of the surname Satō, though specific widely known achievements or roles are not clearly established.
  • D. Katsuya Okada
    Katsuya Okada is a Japanese politician who has served as leader of the Democratic Party of Japan and as Deputy Prime Minister.
  • E. Makoto Yamashita
    Makoto Yamashita is a Japanese politician serving as the governor of Nara Prefecture.
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023728f488190a3622844d78caa13 completed March 22, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2b54de2cc8190b14e3e726b4e9384 completed April 5, 2026, 7:17 p.m.
Created at: March 22, 2026, 3:43 p.m.