Triple

T29904022
Position Surface form Disambiguated ID Type / Status
Subject Marlene on the Wall E759485 entity
Predicate partOf P40 FINISHED
Object Suzanne Vega (album)
Suzanne Vega is the 1985 debut studio album by American singer-songwriter Suzanne Vega, noted for its minimalist acoustic sound and literate, introspective songwriting.
E1891573 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: Suzanne Vega (album) | Statement: [Marlene on the Wall, partOf, Suzanne Vega (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: Suzanne Vega (album)
Triple: [Marlene on the Wall, partOf, Suzanne Vega (album)]
Generated description
Suzanne Vega is the 1985 debut studio album by American singer-songwriter Suzanne Vega, noted for its minimalist acoustic sound and literate, introspective songwriting.

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_69f224600590819085e148a01c056ef6 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6775489c8819082f3ac9e756b6d92 completed May 2, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2714128d788190be99cf6d57bd42bd completed June 8, 2026, 7:12 p.m.
NEDg Description generation batch_6a27153ead5c8190a697d880077b83d9 completed June 8, 2026, 7:17 p.m.
NED2 Entity disambiguation (via description) batch_6a27183cddcc81908fe2b2d077a6b3a3 completed June 8, 2026, 7:30 p.m.
Created at: April 29, 2026, 6:07 p.m.