Triple
T11472532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Say Yes to the Dress |
E271943
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object |
Kleinfeld Bridal
Kleinfeld Bridal is a famous New York City bridal salon renowned for its extensive wedding dress selection and as the longtime filming location of the reality TV show "Say Yes to the Dress."
|
E927366
|
NE FINISHED |
How this triple was built (4 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: Kleinfeld Bridal | Statement: [Say Yes to the Dress, setting, Kleinfeld Bridal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kleinfeld Bridal Context triple: [Say Yes to the Dress, setting, Kleinfeld Bridal]
-
A.
Alexandra Strauss
Alexandra Strauss is a literary editor known for her work shaping and refining the text of *The Tale*.
-
B.
Harry & David
Harry & David is a well-known American gourmet food and gift retailer, especially famous for its premium fruit baskets and holiday gift boxes.
-
C.
Marchesa
Marchesa is the Italian noble title traditionally used to designate a woman holding the rank of marquess.
-
D.
Marchesa
Marchesa is a luxury fashion label renowned for its ornate, red-carpet-ready eveningwear and bridal gowns.
-
E.
Queen’s Closet
Queen’s Closet is a small, private room within a royal residence traditionally used by a queen for personal retreat, prayer, or intimate meetings.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Kleinfeld Bridal Triple: [Say Yes to the Dress, setting, Kleinfeld Bridal]
Generated description
Kleinfeld Bridal is a famous New York City bridal salon renowned for its extensive wedding dress selection and as the longtime filming location of the reality TV show "Say Yes to the Dress."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kleinfeld Bridal Target entity description: Kleinfeld Bridal is a famous New York City bridal salon renowned for its extensive wedding dress selection and as the longtime filming location of the reality TV show "Say Yes to the Dress."
-
A.
Alexandra Strauss
Alexandra Strauss is a literary editor known for her work shaping and refining the text of *The Tale*.
-
B.
Harry & David
Harry & David is a well-known American gourmet food and gift retailer, especially famous for its premium fruit baskets and holiday gift boxes.
-
C.
Marchesa
Marchesa is the Italian noble title traditionally used to designate a woman holding the rank of marquess.
-
D.
Marchesa
Marchesa is a luxury fashion label renowned for its ornate, red-carpet-ready eveningwear and bridal gowns.
-
E.
Queen’s Closet
Queen’s Closet is a small, private room within a royal residence traditionally used by a queen for personal retreat, prayer, or intimate meetings.
- F. None of above. chosen
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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294b3f388190a587c358313f7260 |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e95a479c81909a330c9721bd3902 |
completed | April 20, 2026, 8:52 a.m. |
| NEDg | Description generation | batch_69e5f15a50b881908d0930021833ae74 |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f88f16748190826a7fc5d27019d7 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 8, 2026, 9:35 p.m.