Triple

T5933486
Position Surface form Disambiguated ID Type / Status
Subject Danone E131990 entity
Predicate hasBrand P1500 FINISHED
Object Danette
Danette is a popular line of creamy dairy desserts and puddings produced by the multinational food company Danone.
 E555225 NE FINISHED

How this triple was built (4 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: Danette | Statement: [Danone, hasBrand, Danette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Danette
Context triple: [Danone, hasBrand, Danette]
  • A. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • B. Sondra
    Sondra is a feminine given name, often considered a variant of Sandra or Alexandra.
  • C. Deanie
    Deanie is a diminutive or affectionate nickname commonly used for someone named Dean.
  • D. Martie
    Martie is a diminutive given name, typically used as a familiar or affectionate form of the name Martha.
  • E. Denise
    Denise is a central character in the comedy film "Hot Rod," serving as Rod Kimble's kind-hearted and supportive love interest.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Danette
Triple: [Danone, hasBrand, Danette]
Generated description
Danette is a popular line of creamy dairy desserts and puddings produced by the multinational food company Danone.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Danette
Target entity description: Danette is a popular line of creamy dairy desserts and puddings produced by the multinational food company Danone.
  • A. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • B. Sondra
    Sondra is a feminine given name, often considered a variant of Sandra or Alexandra.
  • C. Deanie
    Deanie is a diminutive or affectionate nickname commonly used for someone named Dean.
  • D. Martie
    Martie is a diminutive given name, typically used as a familiar or affectionate form of the name Martha.
  • E. Denise
    Denise is the custom video display chip used in early Commodore Amiga computers, responsible for handling their advanced graphics and sprite capabilities.
  • F. None of above. chosen

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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0389f6fc881909527b928838ffcdd completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c064d2a4819096085668182cfde1 completed March 23, 2026, 4:24 a.m.
NEDg Description generation batch_69c0c109b3288190928dc4539a2872c2 completed March 23, 2026, 4:26 a.m.
NED2 Entity disambiguation (via description) batch_69c0c1f6fe60819080a00976740b6a9c completed March 23, 2026, 4:30 a.m.
Created at: March 22, 2026, 4 p.m.