Triple

T1198275
Position Surface form Disambiguated ID Type / Status
Subject Edge of Tomorrow E25717 entity
Predicate basedOnAuthor P2806 FINISHED
Object Hiroshi Sakurazaka E267170 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: Hiroshi Sakurazaka | Statement: [Edge of Tomorrow, basedOnAuthor, Hiroshi Sakurazaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hiroshi Sakurazaka
Context triple: [Edge of Tomorrow, basedOnAuthor, Hiroshi Sakurazaka]
  • A. Hiroshi Sakurazaka chosen
    Hiroshi Sakurazaka is a Japanese science fiction author best known internationally for his novel "All You Need Is Kill," which inspired the film "Edge of Tomorrow."
  • B. Makoto Yamashita
    Makoto Yamashita is a Japanese politician serving as the governor of Nara Prefecture.
  • C. Kazuyuki Furuya
    Kazuyuki Furuya is a Japanese government official who serves as a leading antitrust and competition policy regulator.
  • D. Naoki Tanaka
    Naoki Tanaka is a Japanese politician and businessman known as the son of former Prime Minister Kakuei Tanaka and a member of the influential Tanaka political family.
  • E. Sakai Takashi
    Sakai Takashi was an Imperial Japanese Army general best known for leading Japanese forces during the early Pacific War, including the invasion of Hong Kong.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd9c013c8190822d44d465d60fdb completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69afbba1649081909703163de2d018cd completed March 10, 2026, 6:35 a.m.
Created at: March 1, 2026, 7:46 p.m.