Triple

T27685033
Position Surface form Disambiguated ID Type / Status
Subject Shūsaku Endō E698002 entity
Predicate hasAdaptation P1690 FINISHED
Object film "Silence" (1971)
The 1971 film "Silence" is a Japanese historical drama directed by Masahiro Shinoda that adapts Shūsaku Endō’s novel about persecuted Christian missionaries in 17th-century Japan.
 E1782291 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: film "Silence" (1971) | Statement: [Shūsaku Endō, hasAdaptation, film "Silence" (1971)]
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: film "Silence" (1971)
Triple: [Shūsaku Endō, hasAdaptation, film "Silence" (1971)]
Generated description
The 1971 film "Silence" is a Japanese historical drama directed by Masahiro Shinoda that adapts Shūsaku Endō’s novel about persecuted Christian missionaries in 17th-century Japan.

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_69ef590df8708190af5488f0638e790c completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f63572ae688190b6529409b47e1ce8 completed May 2, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12daafa5dc81908fa445ad0a234e77 completed May 24, 2026, 11:02 a.m.
NEDg Description generation batch_6a12db425798819097c2f19d2aa6baaa completed May 24, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_6a12dbac16bc8190aa2c654274fbcb3b completed May 24, 2026, 11:06 a.m.
Created at: April 27, 2026, 2:49 p.m.