Triple
T12351600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stormzy |
E294500
|
entity |
| Predicate | singleReleaseYear |
P13838
|
FINISHED |
| Object |
Crown (2019)
"Crown (2019)" is a 2019 single by British rapper Stormzy that reflects on the pressures of fame and leadership.
|
E977304
|
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: Crown (2019) | Statement: [Stormzy, singleReleaseYear, Crown (2019)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crown (2019) Context triple: [Stormzy, singleReleaseYear, Crown (2019)]
-
A.
the Crown
The Crown is the symbolic and legal embodiment of the British monarchy and state authority.
-
B.
The Crown & Crest
The Crown & Crest is a British-themed retail shop in Epcot’s United Kingdom Pavilion at Walt Disney World, offering heraldry-inspired gifts, crests, and UK souvenirs.
-
C.
On the Crown
On the Crown is a famous political oration by the Athenian statesman and orator Demosthenes, defending his public career and attacking his rival Aeschines.
-
D.
Crown
Crown is a major American publishing imprint of Penguin Random House known for releasing high-profile nonfiction and bestselling works by prominent public figures.
-
E.
Crown
Crown is a prominent American business family name associated with influential industrialist and investor Lester Crown.
- 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: Crown (2019) Triple: [Stormzy, singleReleaseYear, Crown (2019)]
Generated description
"Crown (2019)" is a 2019 single by British rapper Stormzy that reflects on the pressures of fame and leadership.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crown (2019) Target entity description: "Crown (2019)" is a 2019 single by British rapper Stormzy that reflects on the pressures of fame and leadership.
-
A.
the Crown
The Crown is the symbolic and legal embodiment of the British monarchy and state authority.
-
B.
The Crown & Crest
The Crown & Crest is a British-themed retail shop in Epcot’s United Kingdom Pavilion at Walt Disney World, offering heraldry-inspired gifts, crests, and UK souvenirs.
-
C.
On the Crown
On the Crown is a famous political oration by the Athenian statesman and orator Demosthenes, defending his public career and attacking his rival Aeschines.
-
D.
Crown
Crown is a major American publishing imprint of Penguin Random House known for releasing high-profile nonfiction and bestselling works by prominent public figures.
-
E.
Crown
Crown is a prominent American business family name associated with influential industrialist and investor Lester Crown.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8aa33c8190b22b7dff9559b8ed |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab066108190bba8eca95d3e0a81 |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c569a6c8190aecf8a4c627d8893 |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d07d3148190a45542c8d43a7077 |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:53 p.m.