Triple

T12812038
Position Surface form Disambiguated ID Type / Status
Subject Jill Bilcock E306294 entity
Predicate notableWork P4 FINISHED
Object Japanese Story E566070 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: Japanese Story | Statement: [Jill Bilcock, notableWork, Japanese Story]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japanese Story
Context triple: [Jill Bilcock, notableWork, Japanese Story]
  • A. Japanese Story chosen
    Japanese Story is a 2003 Australian drama film set in the Pilbara desert, following an intense, tragic relationship between a geologist and a Japanese businessman.
  • B. The Ballad of Narayama
    The Ballad of Narayama is a 1983 Japanese film by Shōhei Imamura that portrays a remote village’s brutal custom of abandoning its elderly on a mountain, blending stark realism with folkloric themes.
  • C. Rashōmon
    Rashōmon is a seminal short story by Japanese writer Ryūnosuke Akutagawa that explores moral ambiguity and human desperation in a decaying Kyoto.
  • D. Takadanobaba
    Takadanobaba is a lively Tokyo neighborhood known for its student population, affordable eateries, and strong connections to nearby universities like Waseda.
  • E. Departures
    Departures is a 2008 Japanese drama film about a cellist who becomes a traditional funeral professional, acclaimed for its poignant exploration of life, death, and human connection.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9adcf08190a12801adcc613477 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eca9b448190a819b3807fdbc3f8 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.