Triple

T32373777
Position Surface form Disambiguated ID Type / Status
Subject Hiroshi Teshigahara E827218 entity
Predicate notableWork P4 FINISHED
Object The Man Without a Map
The Man Without a Map is a 1968 Japanese mystery film directed by Hiroshi Teshigahara, adapted from a novel by Kōbō Abe and centered on a detective’s search for a missing man in Tokyo.
 E2003525 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: The Man Without a Map | Statement: [Hiroshi Teshigahara, notableWork, The Man Without a Map]
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: The Man Without a Map
Triple: [Hiroshi Teshigahara, notableWork, The Man Without a Map]
Generated description
The Man Without a Map is a 1968 Japanese mystery film directed by Hiroshi Teshigahara, adapted from a novel by Kōbō Abe and centered on a detective’s search for a missing man in Tokyo.

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_69f349177ddc8190ab0583f05597056b completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c12ca0708190ad7ebbc584ca36c7 completed May 3, 2026, 3:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a33e8b470308190ad43f0f84e53b578 completed June 18, 2026, 12:46 p.m.
NEDg Description generation batch_6a33e92e28948190a6a1b78e64ca166a completed June 18, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_6a342bd27c6481909db141b17d62c783 completed June 18, 2026, 5:33 p.m.
Created at: May 1, 2026, 12:50 a.m.