Triple

T33782530
Position Surface form Disambiguated ID Type / Status
Subject Demetra Pinsent E865695 entity
Predicate employer P7 FINISHED
Object Charlotte Tilbury Beauty
Charlotte Tilbury Beauty is a luxury British makeup and skincare brand founded by celebrity makeup artist Charlotte Tilbury, known for its high-performance, glamour-focused products and strong global presence.
E2067687 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: Charlotte Tilbury Beauty | Statement: [Demetra Pinsent, employer, Charlotte Tilbury Beauty]
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: Charlotte Tilbury Beauty
Triple: [Demetra Pinsent, employer, Charlotte Tilbury Beauty]
Generated description
Charlotte Tilbury Beauty is a luxury British makeup and skincare brand founded by celebrity makeup artist Charlotte Tilbury, known for its high-performance, glamour-focused products and strong global presence.

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_69f3498ecc2c8190bcd85e3f11dc215e completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fcc9d7cc8190b4d3ab868a47a257 completed May 3, 2026, 7:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3665898d1481908913411737110016 completed June 20, 2026, 10:03 a.m.
NEDg Description generation batch_6a36663e473c81908cb06cf9eb79cfc0 completed June 20, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_6a3666ebe7ec8190a279f7eb183cf157 completed June 20, 2026, 10:09 a.m.
Created at: May 1, 2026, 1:45 a.m.