Triple

T29297261
Position Surface form Disambiguated ID Type / Status
Subject Markus Imhoof E742865 entity
Predicate notableWork P4 FINISHED
Object Die Reise
Die Reise is a politically charged 1986 Swiss drama film by Markus Imhoof that explores themes of left-wing militancy, personal responsibility, and the legacy of 1960s radicalism.
E1858311 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: Die Reise | Statement: [Markus Imhoof, notableWork, Die Reise]
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: Die Reise
Triple: [Markus Imhoof, notableWork, Die Reise]
Generated description
Die Reise is a politically charged 1986 Swiss drama film by Markus Imhoof that explores themes of left-wing militancy, personal responsibility, and the legacy of 1960s radicalism.

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_69f0912323c48190b9a24ef8cf359225 completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f6654459b481908684b3efa19d5bd5 completed May 2, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25894d2164819080e2f6be0dd6e83a completed June 7, 2026, 3:07 p.m.
NEDg Description generation batch_6a258d750ab48190bdf37e21cd47cc06 completed June 7, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_6a25918a8da481909aa87b4b05f403d1 completed June 7, 2026, 3:43 p.m.
Created at: April 28, 2026, 1:07 p.m.