Triple

T34336209
Position Surface form Disambiguated ID Type / Status
Subject Rainbow (Kesha album) E881152 entity
Predicate hasTrack P3284 FINISHED
Object Boots
"Boots" is a song by American singer Kesha from her 2017 album Rainbow, blending pop and rock influences with confessional lyrics.
E2103197 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: Boots | Statement: [Rainbow (Kesha album), hasTrack, Boots]
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: Boots
Triple: [Rainbow (Kesha album), hasTrack, Boots]
Generated description
"Boots" is a song by American singer Kesha from her 2017 album Rainbow, blending pop and rock influences with confessional lyrics.

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_69f349ba96a08190b94887bae2d8ee49 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f713c25f848190be5a96161e4c262d completed May 3, 2026, 9:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3740f235b881908d74d88282b36915 completed June 21, 2026, 1:40 a.m.
NEDg Description generation batch_6a374189e1b881908f19247a3a1104d2 completed June 21, 2026, 1:42 a.m.
NED2 Entity disambiguation (via description) batch_6a3741f66d88819081e0566ae6ded487 completed June 21, 2026, 1:44 a.m.
Created at: May 1, 2026, 1:58 a.m.