Triple
T19854459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aerie |
E477093
|
entity |
| Predicate | campaign |
P1067
|
FINISHED |
| Object | Aerie Real |
—
|
NE NERFINISHED |
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: Aerie Real | Statement: [Aerie, campaign, Aerie Real]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aerie Real Context triple: [Aerie, campaign, Aerie Real]
-
A.
Aerie
chosen
Aerie is an American lingerie and lifestyle brand known for its body-positive marketing and unretouched advertising campaigns.
-
B.
QuadReal Property Group
QuadReal Property Group is a Canadian real estate investment, development, and management company that oversees a global portfolio of commercial and residential properties.
-
C.
Trilogy Real Estate
Trilogy Real Estate is a UK-based property investment and development company known for owning and redeveloping prominent mixed-use urban assets.
-
D.
RFR Realty
RFR Realty is a New York–based real estate investment and development firm known for owning and revitalizing prominent modernist and landmark commercial properties.
-
E.
Arnot Realty
Arnot Realty is a real estate development and management company known for owning and operating regional shopping centers such as Arnot Mall in New York.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586b5b088190948ef002c1e77176 |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.