Triple
T8653480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misty Copeland |
E205154
|
entity |
| Predicate | hasModeledFor |
P17880
|
FINISHED |
| Object | Estee Lauder |
E746712
|
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: Estee Lauder | Statement: [Misty Copeland, hasModeledFor, Estee Lauder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Estee Lauder Context triple: [Misty Copeland, hasModeledFor, Estee Lauder]
-
A.
Estée Lauder
chosen
Estée Lauder was an American businesswoman and co-founder of the Estée Lauder cosmetics company, renowned for building one of the world’s leading beauty empires.
-
B.
Estée Lauder Companies
Estée Lauder Companies is a leading global cosmetics and skincare conglomerate that owns numerous prestigious beauty brands across makeup, fragrance, haircare, and skincare.
-
C.
L'Oréal
L'Oréal is a French multinational cosmetics and beauty company recognized as one of the world’s largest and most influential personal care brands.
-
D.
Lancôme
Lancôme is a French luxury cosmetics and skincare brand renowned for its high-end perfumes, makeup, and beauty products.
-
E.
Coty Inc.
Coty Inc. is a global beauty company known for its extensive portfolio of cosmetics, skincare, and fragrance brands.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc484206d881908017897dada63124 |
completed | March 31, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf285de8c081908abca2189f206a40 |
completed | April 3, 2026, 2:39 a.m. |
Created at: March 30, 2026, 6:29 p.m.