Triple

T29470015
Position Surface form Disambiguated ID Type / Status
Subject 今村昌平 E747483 entity
Predicate directed P7373 FINISHED
Object カンゾー先生
カンゾー先生は、今村昌平監督による、戦後の混乱期を背景に人間の欲望や生と死をブラックユーモアを交えて描いた日本映画である。
E1869687 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: カンゾー先生 | Statement: [今村昌平, directed, カンゾー先生]
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: カンゾー先生
Triple: [今村昌平, directed, カンゾー先生]
Generated description
カンゾー先生は、今村昌平監督による、戦後の混乱期を背景に人間の欲望や生と死をブラックユーモアを交えて描いた日本映画である。

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_69f0bd42cf308190bb01b20bc5b7c2d0 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66baa0d3081908a4760782d8f533a completed May 2, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25f118d3648190aad834d2720a7d74 completed June 7, 2026, 10:30 p.m.
NEDg Description generation batch_6a25f6fe431881909a1ee9324f6654d4 completed June 7, 2026, 10:55 p.m.
NED2 Entity disambiguation (via description) batch_6a25fadc64548190829c6465da97f4ae completed June 7, 2026, 11:12 p.m.
Created at: April 28, 2026, 3:56 p.m.