Triple

T22366627
Position Surface form Disambiguated ID Type / Status
Subject 13 Minutes E552921 entity
Predicate screenwriter P2831 FINISHED
Object Fred Breinersdorfer
Fred Breinersdorfer is a German screenwriter, novelist, and lawyer best known for politically and historically themed films such as "Sophie Scholl – The Final Days" and other acclaimed German cinema works.
 E1755917 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: Fred Breinersdorfer | Statement: [13 Minutes, screenwriter, Fred Breinersdorfer]
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: Fred Breinersdorfer
Triple: [13 Minutes, screenwriter, Fred Breinersdorfer]
Generated description
Fred Breinersdorfer is a German screenwriter, novelist, and lawyer best known for politically and historically themed films such as "Sophie Scholl – The Final Days" and other acclaimed German cinema works.

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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1580074dc819091305ac7017000d3 completed April 29, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1247c6f6cc8190ad5c32aa57f7b78d completed May 24, 2026, 12:35 a.m.
NEDg Description generation batch_6a12489d7498819083fb008e2acff886 completed May 24, 2026, 12:38 a.m.
NED2 Entity disambiguation (via description) batch_6a124918ab688190b6172f571d3aba73 completed May 24, 2026, 12:40 a.m.
Created at: April 16, 2026, 8:44 p.m.