Triple

T30692701
Position Surface form Disambiguated ID Type / Status
Subject Talk Dirty E781371 entity
Predicate album P1995 FINISHED
Object Tattoos
Tattoos is the third studio album by American singer Jason Derulo, featuring a blend of pop and R&B tracks including the hit single "Talk Dirty."
E1926868 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: Tattoos | Statement: [Talk Dirty, album, Tattoos]
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: Tattoos
Triple: [Talk Dirty, album, Tattoos]
Generated description
Tattoos is the third studio album by American singer Jason Derulo, featuring a blend of pop and R&B tracks including the hit single "Talk Dirty."

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_69f224ab24e08190991d6edb6df58e8b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68bd862f881908f9ef9109981036a completed May 2, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28710ffce8819084973f0ef8a26830 completed June 9, 2026, 8:01 p.m.
NEDg Description generation batch_6a287718ac78819095b766bef7e27cd2 completed June 9, 2026, 8:27 p.m.
NED2 Entity disambiguation (via description) batch_6a2877db776c8190b2e93df097522486 completed June 9, 2026, 8:30 p.m.
Created at: April 29, 2026, 8:33 p.m.