Triple
T17460691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life of a Don |
E425142
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
2AM
2AM is a track from Don Toliver’s album "Life of a Don," known for its atmospheric production and late-night, introspective vibe.
|
E1270142
|
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: 2AM | Statement: [Life of a Don, hasPart, 2AM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 2AM Context triple: [Life of a Don, hasPart, 2AM]
-
A.
Hitmaka
Hitmaka is an American record producer, songwriter, and former rapper known for crafting numerous contemporary hip-hop and R&B hits for major artists.
-
B.
Bloc B
Bloc B is one of the main buildings within the Résidence Palace complex in Brussels, housing key European Union institutional facilities.
-
C.
Arashi
Arashi is a popular Japanese boy band formed under Johnny & Associates, known for their chart-topping J-pop hits, television appearances, and widespread influence in Japanese entertainment.
-
D.
Arashi
Arashi was an Imperial Japanese Navy destroyer that served in World War II, notably participating in several Pacific naval engagements before being sunk in 1943.
-
E.
Wang Chung
Wang Chung is a British new wave band best known for their 1980s hits and for composing the soundtrack to the film "To Live and Die in L.A."
- 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: 2AM Triple: [Life of a Don, hasPart, 2AM]
Generated description
2AM is a track from Don Toliver’s album "Life of a Don," known for its atmospheric production and late-night, introspective vibe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 2AM Target entity description: 2AM is a track from Don Toliver’s album "Life of a Don," known for its atmospheric production and late-night, introspective vibe.
-
A.
Hitmaka
Hitmaka is an American record producer, songwriter, and former rapper known for crafting numerous contemporary hip-hop and R&B hits for major artists.
-
B.
Bloc B
Bloc B is one of the main buildings within the Résidence Palace complex in Brussels, housing key European Union institutional facilities.
-
C.
Arashi
Arashi is a popular Japanese boy band formed under Johnny & Associates, known for their chart-topping J-pop hits, television appearances, and widespread influence in Japanese entertainment.
-
D.
Arashi
Arashi was an Imperial Japanese Navy destroyer that served in World War II, notably participating in several Pacific naval engagements before being sunk in 1943.
-
E.
Wang Chung
Wang Chung is a British new wave band best known for their 1980s hits and for composing the soundtrack to the film "To Live and Die in L.A."
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a3031c8190ab1dd0d41b002dd2 |
completed | April 19, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01b82206d08190939e1d5f8d31ec6f |
completed | May 11, 2026, 11:06 a.m. |
| NEDg | Description generation | batch_6a01b8c906ec8190ae9e56b3bdb97fe4 |
completed | May 11, 2026, 11:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b9343028819082933b51bb092b3d |
completed | May 11, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:47 a.m.