Triple

T28575388

Position	Surface form	Disambiguated ID	Type / Status
Subject	Burger King	`E723224`	entity
Predicate	hasKidsBrand	`P144439`	FINISHED
Object	King Jr. Meals King Jr. Meals are Burger King’s branded kids’ meal offerings, typically combining a child-sized entrée, side, drink, and often a toy or activity.	`E1826118`	NE FINISHED

How this triple was built (3 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: King Jr. Meals | Statement: [Burger King, hasKidsBrand, King Jr. Meals]

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: King Jr. Meals
Triple: [Burger King, hasKidsBrand, King Jr. Meals]

Generated description

King Jr. Meals are Burger King’s branded kids’ meal offerings, typically combining a child-sized entrée, side, drink, and often a toy or activity.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasKidsBrand
Context triple: [Burger King, hasKidsBrand, King Jr. Meals]

A. parentBrand
Indicates that one brand is the overarching or owning brand from which another brand is derived or subordinated.
B. hasBrandName
Indicates that an entity is associated with or identified by a specific brand name.
C. hasNotableSubBrand chosen
Indicates that an entity includes or owns a distinct, well-known sub-brand associated with it.
D. hasBrandConcept
Indicates that an entity is associated with or embodies a particular brand concept or branding idea.
E. hasBrandType
Indicates that an entity is associated with or categorized under a particular brand type or classification.
F. None of above.

Provenance (6 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_69f01d7e97708190ae9e77ee66a68abd`	completed	April 28, 2026, 2:37 a.m.
NER	Named-entity recognition	`batch_69f652a492108190b885b955ce147d3c`	completed	May 2, 2026, 7:38 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1cb6eff2e88190ae822e9c03377779`	completed	May 31, 2026, 10:32 p.m.
NEDg	Description generation	`batch_6a1cba824efc819080e74d94c5cc364e`	completed	May 31, 2026, 10:47 p.m.
NED2	Entity disambiguation (via description)	`batch_6a1cbb2239708190ae49cb11c399e99f`	completed	May 31, 2026, 10:50 p.m.
PD	Predicate disambiguation	`batch_69f651aad92c8190b874b3b5f9f64434`	completed	May 2, 2026, 7:34 p.m.

Created at: April 28, 2026, 4:12 a.m.