Triple

T30336102
Position Surface form Disambiguated ID Type / Status
Subject Annakim Violette E771625 entity
Predicate familyName P18 FINISHED
Object Violette
Violette is a surname most notably associated with Annakim Violette, an American artist and the daughter of musician Tom Petty.
E1910566 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: Violette | Statement: [Annakim Violette, familyName, Violette]
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: Violette
Triple: [Annakim Violette, familyName, Violette]
Generated description
Violette is a surname most notably associated with Annakim Violette, an American artist and the daughter of musician Tom Petty.

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_69f2248aba24819095bb86480d55b23b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f681ccad6c8190b3bf7c0b20c6ffef completed May 2, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a277c21bd08819095246c906a685334 completed June 9, 2026, 2:36 a.m.
NEDg Description generation batch_6a277cefc06881909023e8a019d6395a completed June 9, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_6a277dac3814819086f5f3efc1a79349 completed June 9, 2026, 2:42 a.m.
Created at: April 29, 2026, 7:54 p.m.