Triple
T13748902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Made in Brooklyn |
E330288
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Lovely Lady
Lovely Lady is a fragrance from the Made in Brooklyn collection, known for its feminine, urban-inspired scent profile.
|
E1060445
|
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: Lovely Lady | Statement: [Made in Brooklyn, hasPart, Lovely Lady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lovely Lady Context triple: [Made in Brooklyn, hasPart, Lovely Lady]
-
A.
My Lady
"My Lady" is a formal, respectful mode of address traditionally used when speaking to or about a woman of noble rank, such as a marchioness.
-
B.
My Beautiful Lady
My Beautiful Lady is a Victorian-era narrative poem by sculptor and poet Thomas Woolner, known for its romantic and sentimental portrayal of love and loss.
-
C.
Fine Lady
Fine Lady is the folkloric figure celebrated in the English nursery rhyme "Ride a cock horse to Banbury Cross," often depicted as a richly dressed woman on horseback.
-
D.
Brilliant Lady
Brilliant Lady is a modern cruise ship operated by Virgin Voyages, designed to offer an adults-only, boutique-style sailing experience.
-
E.
That Lady
"That Lady" is a 1973 funk and soul hit by The Isley Brothers, known for its distinctive guitar work and smooth, psychedelic groove.
- 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: Lovely Lady Triple: [Made in Brooklyn, hasPart, Lovely Lady]
Generated description
Lovely Lady is a fragrance from the Made in Brooklyn collection, known for its feminine, urban-inspired scent profile.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lovely Lady Target entity description: Lovely Lady is a fragrance from the Made in Brooklyn collection, known for its feminine, urban-inspired scent profile.
-
A.
My Lady
"My Lady" is a formal, respectful mode of address traditionally used when speaking to or about a woman of noble rank, such as a marchioness.
-
B.
My Beautiful Lady
My Beautiful Lady is a Victorian-era narrative poem by sculptor and poet Thomas Woolner, known for its romantic and sentimental portrayal of love and loss.
-
C.
Fine Lady
Fine Lady is the folkloric figure celebrated in the English nursery rhyme "Ride a cock horse to Banbury Cross," often depicted as a richly dressed woman on horseback.
-
D.
Brilliant Lady
Brilliant Lady is a modern cruise ship operated by Virgin Voyages, designed to offer an adults-only, boutique-style sailing experience.
-
E.
That Lady
"That Lady" is a 1973 funk and soul hit by The Isley Brothers, known for its distinctive guitar work and smooth, psychedelic groove.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02132a108190aca728b95e83af01 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a854098c8190983d142c9930962b |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7ac78ef5081909caccd2fc5772f24 |
completed | May 3, 2026, 8:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ad51c6808190afa80fc3622399bf |
completed | May 3, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:08 p.m.