Triple
T15142659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joey Purp |
E361724
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Cornerstore
"Cornerstore" is a breakout hip-hop single by Chicago rapper Joey Purp that vividly portrays urban street life and community struggles.
|
E1140131
|
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: Cornerstore | Statement: [Joey Purp, notableWork, Cornerstore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cornerstore Context triple: [Joey Purp, notableWork, Cornerstore]
-
A.
Cornerstore
Cornerstore is a music single released by the band Dogstar.
-
B.
Store Bay
Store Bay is a popular beach and tourist hub on the island of Tobago, known for its calm waters, local food stalls, and easy access to nearby attractions like Buccoo Reef.
-
C.
Dragon Mart
Dragon Mart is a massive Chinese-themed retail and trading complex in Dubai, known as one of the largest hubs for Chinese products outside mainland China.
-
D.
Corner Store Entertainment
Corner Store Entertainment is a film production company known for producing the dark comedy-drama movie "Hesher."
-
E.
Fair Store
Fair Store was a pioneering Chicago department store building designed by architect William Le Baron Jenney, often associated with the early development of skyscraper architecture.
- 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: Cornerstore Triple: [Joey Purp, notableWork, Cornerstore]
Generated description
"Cornerstore" is a breakout hip-hop single by Chicago rapper Joey Purp that vividly portrays urban street life and community struggles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cornerstore Target entity description: "Cornerstore" is a breakout hip-hop single by Chicago rapper Joey Purp that vividly portrays urban street life and community struggles.
-
A.
Cornerstore
Cornerstore is a music single released by the band Dogstar.
-
B.
Store Bay
Store Bay is a popular beach and tourist hub on the island of Tobago, known for its calm waters, local food stalls, and easy access to nearby attractions like Buccoo Reef.
-
C.
Dragon Mart
Dragon Mart is a massive Chinese-themed retail and trading complex in Dubai, known as one of the largest hubs for Chinese products outside mainland China.
-
D.
Corner Store Entertainment
Corner Store Entertainment is a film production company known for producing the dark comedy-drama movie "Hesher."
-
E.
Fair Store
Fair Store was a pioneering Chicago department store building designed by architect William Le Baron Jenney, often associated with the early development of skyscraper architecture.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c5c4248190b57234e3ccf2831b |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfee0ae48190a36523d3eeae9740 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec17d53448190942e5df10ffad4e5 |
completed | May 9, 2026, 5:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec2300c4481908892a6515d99c12f |
completed | May 9, 2026, 5:12 a.m. |
Created at: April 10, 2026, 3:07 a.m.