Triple
T2445027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harajuku |
E53370
|
entity |
| Predicate | styleAssociatedWith |
P8654
|
FINISHED |
| Object |
Lolita fashion
Lolita fashion is a Japanese street style characterized by Victorian- and Rococo-inspired dresses, petticoats, and elaborate, doll-like aesthetics.
|
E267091
|
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: Lolita fashion | Statement: [Harajuku, styleAssociatedWith, Lolita fashion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lolita fashion Context triple: [Harajuku, styleAssociatedWith, Lolita fashion]
-
A.
Freakum Dress
"Freakum Dress" is an uptempo R&B/hip-hop song by Beyoncé that celebrates confidence and empowerment through fashion and attitude.
-
B.
Glamour
Glamour is a popular international women's magazine known for its coverage of fashion, beauty, lifestyle, and celebrity culture.
-
C.
Babydoll
"Babydoll" is a song by the American alternative rock band Butterfly.
-
D.
Miu Miu
Miu Miu is an Italian high-fashion brand known for its playful, avant-garde take on womenswear and accessories.
-
E.
Fashion Victim
Fashion Victim is a 2008 British comedy film about a man whose obsession with designer clothes leads to crime and chaos.
- 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: Lolita fashion Triple: [Harajuku, styleAssociatedWith, Lolita fashion]
Generated description
Lolita fashion is a Japanese street style characterized by Victorian- and Rococo-inspired dresses, petticoats, and elaborate, doll-like aesthetics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lolita fashion Target entity description: Lolita fashion is a Japanese street style characterized by Victorian- and Rococo-inspired dresses, petticoats, and elaborate, doll-like aesthetics.
-
A.
Freakum Dress
"Freakum Dress" is an uptempo R&B/hip-hop song by Beyoncé that celebrates confidence and empowerment through fashion and attitude.
-
B.
Glamour
Glamour is a popular international women's magazine known for its coverage of fashion, beauty, lifestyle, and celebrity culture.
-
C.
Babydoll
"Babydoll" is a song by the American alternative rock band Butterfly.
-
D.
Miu Miu
Miu Miu is an Italian high-fashion brand known for its playful, avant-garde take on womenswear and accessories.
-
E.
Fashion Victim
Fashion Victim is a 2008 British comedy film about a man whose obsession with designer clothes leads to crime and chaos.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd0db08948190b2a9e36aebbcdaa1 |
completed | March 7, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0baa6448190a4046a039168b8fe |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef58eff2c81909cbf3346705940a3 |
completed | March 9, 2026, 4:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef656ae0c81908753cc5a8b5fe704 |
completed | March 9, 2026, 4:33 p.m. |
Created at: March 6, 2026, 9:43 p.m.