Triple

T33416011
Position Surface form Disambiguated ID Type / Status
Subject Patti Cake$ E855717 entity
Predicate characterNameOf P12208 FINISHED
Object Patti Cake$ is the stage name of Patricia Dombrowski
Patti Cake$ is a fictional aspiring rapper and the protagonist of the 2017 indie film "Patti Cake$," known for her bold persona and pursuit of hip-hop stardom.
E2049259 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: Patti Cake$ is the stage name of Patricia Dombrowski | Statement: [Patti Cake$, characterNameOf, Patti Cake$ is the stage name of Patricia Dombrowski]
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: Patti Cake$ is the stage name of Patricia Dombrowski
Triple: [Patti Cake$, characterNameOf, Patti Cake$ is the stage name of Patricia Dombrowski]
Generated description
Patti Cake$ is a fictional aspiring rapper and the protagonist of the 2017 indie film "Patti Cake$," known for her bold persona and pursuit of hip-hop stardom.

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_69f3496fdf0081908c1aa30870ce518b completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e439ab108190b71b9cac77f3f851 completed May 3, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a357700f8f4819096a952f88dbae16a completed June 19, 2026, 5:06 p.m.
NEDg Description generation batch_6a3578085b248190bc4a4deeddc80efb completed June 19, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_6a3578b81d808190bf05400add1c794a completed June 19, 2026, 5:13 p.m.
Created at: May 1, 2026, 1:36 a.m.