Triple

T24759380
Position Surface form Disambiguated ID Type / Status
Subject Curt Cress E619388 entity
Predicate hasWorkedWith P9615 FINISHED
Object Milli Vanilli
Milli Vanilli was a late-1980s German-French R&B/pop duo best known for their commercial success and subsequent lip-syncing scandal that led to one of the most infamous controversies in pop music history.
E1651277 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: Milli Vanilli | Statement: [Curt Cress, hasWorkedWith, Milli Vanilli]
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: Milli Vanilli
Triple: [Curt Cress, hasWorkedWith, Milli Vanilli]
Generated description
Milli Vanilli was a late-1980s German-French R&B/pop duo best known for their commercial success and subsequent lip-syncing scandal that led to one of the most infamous controversies in pop music history.

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_69e2fabbea94819092ed41348909622f completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f4107b385481908ed34c8c4dc90c45 completed May 1, 2026, 2:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c0e293881909ef3f139d0719255 completed May 22, 2026, 9:04 a.m.
NEDg Description generation batch_6a1024aaf1e48190b70f890bfa9a1ec4 completed May 22, 2026, 9:40 a.m.
NED2 Entity disambiguation (via description) batch_6a1025c5fb188190bd117ec73114af3e completed May 22, 2026, 9:45 a.m.
Created at: April 18, 2026, 4:27 a.m.