Triple
T16287659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take Me to the Alley |
E395430
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
In Fashion
"In Fashion" is a song featured on Gregory Porter's acclaimed jazz-soul album "Take Me to the Alley."
|
E1203964
|
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: In Fashion | Statement: [Take Me to the Alley, hasPart, In Fashion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: In Fashion Context triple: [Take Me to the Alley, hasPart, In Fashion]
-
A.
Fashn
Fashn is a city in Egypt located within the Beni Suef Governorate along the Nile River.
-
B.
Fashion
Fashion is a rapper and producer best known as an early member of the Queens-based hip hop group The Beatnuts.
-
C.
Fashion (The Guardian)
Fashion (The Guardian) is The Guardian’s dedicated section covering style, clothing, trends, and the fashion industry with news, features, and commentary.
-
D.
Prêt-à-Porter (Ready to Wear)
Prêt-à-Porter (Ready to Wear) is a 1994 satirical ensemble film directed by Robert Altman that lampoons the fashion industry through intersecting storylines set during Paris Fashion Week.
-
E.
Fashion Avenue
Fashion Avenue is a designer-focused, upscale shopping wing within the Sawgrass Mills outlet mall, featuring luxury and high-end fashion brands.
- 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: In Fashion Triple: [Take Me to the Alley, hasPart, In Fashion]
Generated description
"In Fashion" is a song featured on Gregory Porter's acclaimed jazz-soul album "Take Me to the Alley."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: In Fashion Target entity description: "In Fashion" is a song featured on Gregory Porter's acclaimed jazz-soul album "Take Me to the Alley."
-
A.
Fashn
Fashn is a city in Egypt located within the Beni Suef Governorate along the Nile River.
-
B.
Fashion
Fashion is a rapper and producer best known as an early member of the Queens-based hip hop group The Beatnuts.
-
C.
Fashion (The Guardian)
Fashion (The Guardian) is The Guardian’s dedicated section covering style, clothing, trends, and the fashion industry with news, features, and commentary.
-
D.
Prêt-à-Porter (Ready to Wear)
Prêt-à-Porter (Ready to Wear) is a 1994 satirical ensemble film directed by Robert Altman that lampoons the fashion industry through intersecting storylines set during Paris Fashion Week.
-
E.
Fashion Avenue
Fashion Avenue is a designer-focused, upscale shopping wing within the Sawgrass Mills outlet mall, featuring luxury and high-end fashion brands.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24915a5948190a11b8e83b7974dda |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017caaa448190a5034ddbd90d2fd5 |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a0018951f888190b70e098e4af3a90a |
completed | May 10, 2026, 5:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00190887088190a5a0eb2cfd674c98 |
completed | May 10, 2026, 5:35 a.m. |
Created at: April 10, 2026, 5:05 a.m.