Triple

T29616971
Position Surface form Disambiguated ID Type / Status
Subject She’s Not Me E754888 entity
Predicate album P1995 FINISHED
Object Queen of the Clouds
Queen of the Clouds is the debut studio album by Swedish singer Tove Lo, known for its candid exploration of love, heartbreak, and self-destruction through dark, synth-driven pop.
E1876505 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: Queen of the Clouds | Statement: [She’s Not Me, album, Queen of the Clouds]
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: Queen of the Clouds
Triple: [She’s Not Me, album, Queen of the Clouds]
Generated description
Queen of the Clouds is the debut studio album by Swedish singer Tove Lo, known for its candid exploration of love, heartbreak, and self-destruction through dark, synth-driven pop.

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_69f0ef85f62081909842b59fdf8717e1 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f66e2198f88190b384af5844ab9415 completed May 2, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26616a5edc8190b621fa02880cbf68 completed June 8, 2026, 6:30 a.m.
NEDg Description generation batch_6a2666a571948190916a9c87699f9e1c completed June 8, 2026, 6:52 a.m.
NED2 Entity disambiguation (via description) batch_6a266aaa2b48819095346ea9192eaca6 completed June 8, 2026, 7:09 a.m.
Created at: April 28, 2026, 6:32 p.m.