Triple

T31879201
Position Surface form Disambiguated ID Type / Status
Subject Sie Liebt Dich E813828 entity
Predicate partOf P40 FINISHED
Object The Beatles German-language recordings
The Beatles German-language recordings are a small set of songs the band re-recorded in German in the early 1960s to better reach the German-speaking market.
E1983301 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 Beatles German-language recordings | Statement: [Sie Liebt Dich, partOf, The Beatles German-language recordings]
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 Beatles German-language recordings
Triple: [Sie Liebt Dich, partOf, The Beatles German-language recordings]
Generated description
The Beatles German-language recordings are a small set of songs the band re-recorded in German in the early 1960s to better reach the German-speaking market.

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_69f348ed74bc81909846aaa6a3c7318c completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6b0d21dd08190a9883ff71c94c71c completed May 3, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e7fe16318819081c1209b8aef5ee6 completed June 14, 2026, 10:18 a.m.
NEDg Description generation batch_6a2e8071a2c0819091ed05c5b73ce899 completed June 14, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_6a2e84c760408190a96c2b029ab20381 completed June 14, 2026, 10:39 a.m.
Created at: April 30, 2026, 11:56 p.m.