Triple

T38114618

Position	Surface form	Disambiguated ID	Type / Status
Subject	J’adore	`E951755`	entity
Predicate	brandTagline	`P190570`	FINISHED
Object	J’adore Dior J’adore Dior is a luxurious and iconic women’s fragrance line by Christian Dior, celebrated for its elegant floral composition and glamorous image.	`E2258174`	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: J’adore Dior | Statement: [J’adore, brandTagline, J’adore Dior]

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: J’adore Dior
Triple: [J’adore, brandTagline, J’adore Dior]

Generated description

J’adore Dior is a luxurious and iconic women’s fragrance line by Christian Dior, celebrated for its elegant floral composition and glamorous image.

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

Target predicate: brandTagline
Context triple: [J’adore, brandTagline, J’adore Dior]

A. brandLine
Indicates that one brand is a specific product line or sub-brand offered under another brand.
B. brand
Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
C. brandNumber
Indicates the identifying number or code assigned to a particular brand within a system or dataset.
D. brandNameType
Indicates the specific type or category associated with a brand name within a broader branding or naming system.
E. brandPosition
Indicates the relative market or perceptual placement of a brand compared to competitors or within a defined category.
F. None of above. chosen

Provenance (7 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_69f76f07734c8190814e937e12257a78`	completed	May 3, 2026, 3:51 p.m.
NER	Named-entity recognition	`batch_69fccbd826708190b5fab12c4236299a`	completed	May 7, 2026, 5:28 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a41711d7c508190856707ffebc58625`	completed	June 28, 2026, 7:08 p.m.
NEDg	Description generation	`batch_6a4172291ffc8190a67594e8b2cb42e0`	completed	June 28, 2026, 7:12 p.m.
NED2	Entity disambiguation (via description)	`batch_6a4172cc0a288190a82f0f22593f5861`	completed	June 28, 2026, 7:15 p.m.
PD	Predicate disambiguation	`batch_69fcc58838e08190b8fa54aa5c165f2d`	completed	May 7, 2026, 5:02 p.m.
PDg	Predicate description generation	`batch_69fccbd6b7688190b746803cf78d5704`	completed	May 7, 2026, 5:28 p.m.

Created at: May 3, 2026, 4:21 p.m.