Triple

T29827461
Position Surface form Disambiguated ID Type / Status
Subject Calypso (1956 album) E757420 entity
Predicate producer P490 FINISHED
Object Henri René
Henri René was a German-born American conductor, arranger, and record producer known for his work with RCA Victor and collaborations with popular mid-20th-century artists.
E1899216 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: Henri René | Statement: [Calypso (1956 album), producer, Henri René]
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: Henri René
Triple: [Calypso (1956 album), producer, Henri René]
Generated description
Henri René was a German-born American conductor, arranger, and record producer known for his work with RCA Victor and collaborations with popular mid-20th-century artists.

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_69f22457c84c8190a6d9f56bc74082a9 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f675999c988190a5e220a4a2d45e50 completed May 2, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2742ff0a608190a284c7f850c29371 completed June 8, 2026, 10:32 p.m.
NEDg Description generation batch_6a2743cf9c208190965b51fdc3713824 completed June 8, 2026, 10:35 p.m.
NED2 Entity disambiguation (via description) batch_6a27448fcf748190a4e15ef2f89f56f5 completed June 8, 2026, 10:39 p.m.
Created at: April 29, 2026, 5:32 p.m.