Triple

T32035179
Position Surface form Disambiguated ID Type / Status
Subject Baran bo Odar E818075 entity
Predicate wrote P2831 FINISHED
Object The Silence
The Silence is a German crime thriller film that follows the haunting repercussions of a young girl’s unsolved murder and the resurfacing of similar events decades later.
 E1991004 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 Silence | Statement: [Baran bo Odar, wrote, The Silence]
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 Silence
Triple: [Baran bo Odar, wrote, The Silence]
Generated description
The Silence is a German crime thriller film that follows the haunting repercussions of a young girl’s unsolved murder and the resurfacing of similar events decades later.

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_69f348fbc8148190b3c0f95d4772b153 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b49a18748190bfc7061da3eebef6 completed May 3, 2026, 2:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2eddd8845081908ba14d9585b8f5a0 completed June 14, 2026, 4:59 p.m.
NEDg Description generation batch_6a2ee0b846608190855b14d2ed0eaec3 completed June 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_6a2ee10af6ec81909a7dd596be474494 completed June 14, 2026, 5:12 p.m.
Created at: May 1, 2026, 12:18 a.m.