Triple

T6380505
Position Surface form Disambiguated ID Type / Status
Subject Samba Pa Ti E143566 entity
Predicate hasCoverVersionBy P11142 FINISHED
Object Ottmar Liebert
Ottmar Liebert is a German-born guitarist and composer best known for his influential Nouveau Flamenco style and internationally successful recordings with his band Luna Negra.
E2297529 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: Ottmar Liebert | Statement: [Samba Pa Ti, hasCoverVersionBy, Ottmar Liebert]
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: Ottmar Liebert
Triple: [Samba Pa Ti, hasCoverVersionBy, Ottmar Liebert]
Generated description
Ottmar Liebert is a German-born guitarist and composer best known for his influential Nouveau Flamenco style and internationally successful recordings with his band Luna Negra.

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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685265208190b2204bd4abff2668 completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a8391e5bc0c8190a3fc0133c210b5e4 completed Aug. 17, 2026, 10:57 p.m.
NEDg Description generation batch_6a839995915881908c7bcaa2b3c39bb2 completed Aug. 17, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_6a839a6f17f88190999f49c72b693e20 completed Aug. 17, 2026, 11:34 p.m.
Created at: March 22, 2026, 4:33 p.m.