Triple

T11536231
Position Surface form Disambiguated ID Type / Status
Subject The Emissary E273554 entity
Predicate originalTitle P65 FINISHED
Object Kentōshi
Kentōshi is a Japanese film (internationally known as "The Emissary") that dramatizes the perilous diplomatic missions sent from Japan to Tang China in ancient times.
 E1135465 NE FINISHED

How this triple was built (4 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: Kentōshi | Statement: [The Emissary, originalTitle, Kentōshi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kentōshi
Context triple: [The Emissary, originalTitle, Kentōshi]
  • A. Kawaguchi
    Kawaguchi is a major commuter city in the Greater Tokyo area of Japan, located just north of Tokyo in Saitama Prefecture.
  • B. Wakamatsu
    Wakamatsu is a ward in the city of Kitakyushu, Japan, known historically as a port and industrial area on the northern coast of Kyushu.
  • C. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • D. Kanamachi
    Kanamachi is a neighborhood in Tokyo known as a residential and commercial area within the Katsushika ward.
  • E. Tsuchiura
    Tsuchiura is a city in Ibaraki Prefecture, Japan, known for its location on the shores of Lake Kasumigaura and its annual national fireworks competition.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kentōshi
Triple: [The Emissary, originalTitle, Kentōshi]
Generated description
Kentōshi is a Japanese film (internationally known as "The Emissary") that dramatizes the perilous diplomatic missions sent from Japan to Tang China in ancient times.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kentōshi
Target entity description: Kentōshi is a Japanese film (internationally known as "The Emissary") that dramatizes the perilous diplomatic missions sent from Japan to Tang China in ancient times.
  • A. Kawaguchi
    Kawaguchi is a major commuter city in the Greater Tokyo area of Japan, located just north of Tokyo in Saitama Prefecture.
  • B. Wakamatsu
    Wakamatsu is a ward in the city of Kitakyushu, Japan, known historically as a port and industrial area on the northern coast of Kyushu.
  • C. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • D. Kanamachi
    Kanamachi is a neighborhood in Tokyo known as a residential and commercial area within the Katsushika ward.
  • E. Tsuchiura
    Tsuchiura is a city in Ibaraki Prefecture, Japan, known for its location on the shores of Lake Kasumigaura and its annual national fireworks competition.
  • F. None of above. chosen

Provenance (5 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839b4bb48190b748ec4119f36c11 completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea598fd888190b53ab937bad1d824 completed May 9, 2026, 3:10 a.m.
NEDg Description generation batch_69fea71a4ab08190aa044608de1cf676 completed May 9, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_69fea97741dc8190b56facdbff937c78 completed May 9, 2026, 3:26 a.m.
Created at: April 8, 2026, 9:37 p.m.