Triple

T36262787
Position Surface form Disambiguated ID Type / Status
Subject 1110 Bel Air Place E892136 entity
Predicate precededByInDiscography P45797 FINISHED
Object Julio (1983 album)
Julio (1983 album) is a 1983 compilation album by Spanish singer Julio Iglesias that helped expand his international popularity through English-language and crossover recordings.
E2176118 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: Julio (1983 album) | Statement: [1110 Bel Air Place, precededByInDiscography, Julio (1983 album)]
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: Julio (1983 album)
Triple: [1110 Bel Air Place, precededByInDiscography, Julio (1983 album)]
Generated description
Julio (1983 album) is a 1983 compilation album by Spanish singer Julio Iglesias that helped expand his international popularity through English-language and crossover recordings.

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_69f76e4699188190af045b11a840ce31 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b6239a40819096d61246367b612c completed May 3, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a396e0a94308190ad57c17802e2b133 completed June 22, 2026, 5:16 p.m.
NEDg Description generation batch_6a396ed615e88190afc150b7ad4121ef completed June 22, 2026, 5:20 p.m.
NED2 Entity disambiguation (via description) batch_6a396fd681a88190a687284b93b848d1 completed June 22, 2026, 5:24 p.m.
Created at: May 3, 2026, 4:09 p.m.