Triple
T5285456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macklemore |
E119606
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Downtown
"Downtown" is a funk- and hip hop-influenced single by Macklemore & Ryan Lewis, known for its nostalgic homage to old-school rap and mopeds.
|
E508452
|
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: Downtown | Statement: [Macklemore, notableWork, Downtown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Downtown Context triple: [Macklemore, notableWork, Downtown]
-
A.
Downtown
Downtown is an American television series featuring Mariska Hargitay in a leading role.
-
B.
Downtown
Downtown is the central business and commercial district of Washington, D.C., known for its offices, shops, restaurants, and proximity to major landmarks.
-
C.
City Center
City Center is a historic performing arts venue in Midtown Manhattan, best known for its dance, theater, and music programming.
-
D.
Downtown Reach
Downtown Reach is the central, urban section of the San Antonio River Walk known for its dense concentration of restaurants, shops, hotels, and cultural attractions.
-
E.
Downtown Center
Downtown Center is a Pensacola State College campus located in downtown Pensacola that offers higher education courses and workforce training programs.
- 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: Downtown Triple: [Macklemore, notableWork, Downtown]
Generated description
"Downtown" is a funk- and hip hop-influenced single by Macklemore & Ryan Lewis, known for its nostalgic homage to old-school rap and mopeds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Downtown Target entity description: "Downtown" is a funk- and hip hop-influenced single by Macklemore & Ryan Lewis, known for its nostalgic homage to old-school rap and mopeds.
-
A.
Downtown
Downtown is an American television series featuring Mariska Hargitay in a leading role.
-
B.
Downtown
Downtown is the central business and commercial district of Washington, D.C., known for its offices, shops, restaurants, and proximity to major landmarks.
-
C.
City Center
City Center is a historic performing arts venue in Midtown Manhattan, best known for its dance, theater, and music programming.
-
D.
Downtown Reach
Downtown Reach is the central, urban section of the San Antonio River Walk known for its dense concentration of restaurants, shops, hotels, and cultural attractions.
-
E.
Downtown Center
Downtown Center is a Pensacola State College campus located in downtown Pensacola that offers higher education courses and workforce training programs.
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84d7de908190820c31fe6eb98dac |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06e6200881908da623e8548ec051 |
completed | March 21, 2026, 9 p.m. |
| NEDg | Description generation | batch_69bf09d1b9088190a7bf560c8d22d225 |
completed | March 21, 2026, 9:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf0a77e3b88190904c5ed6ee48ee71 |
completed | March 21, 2026, 9:15 p.m. |
Created at: March 20, 2026, 1:52 p.m.