Triple
T6584107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helena Rubinstein |
E159176
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Helena Rubinstein Incorporated |
E159176
|
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: Helena Rubinstein Incorporated | Statement: [Helena Rubinstein, founded, Helena Rubinstein Incorporated]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helena Rubinstein Incorporated Context triple: [Helena Rubinstein, founded, Helena Rubinstein Incorporated]
-
A.
Helena Rubinstein
chosen
Helena Rubinstein was a pioneering Polish-American businesswoman and cosmetics entrepreneur who founded one of the world’s first global beauty empires.
-
B.
Elizabeth Arden
Elizabeth Arden was a pioneering Canadian-American businesswoman who founded the Elizabeth Arden cosmetics empire and helped shape the modern beauty industry.
-
C.
Coty Inc.
Coty Inc. is a global beauty company known for its extensive portfolio of cosmetics, skincare, and fragrance brands.
-
D.
Alexandra Strauss
Alexandra Strauss is a literary editor known for her work shaping and refining the text of *The Tale*.
-
E.
L. Bamberger & Co.
L. Bamberger & Co. was a prominent Newark, New Jersey-based department store that became one of the leading retail establishments in the region in the late 19th and early 20th centuries.
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae938184819088234aad9cc997e1 |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d576ab288190ac7e7b58e974697c |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:54 p.m.