Triple
T1302161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hit-Boy |
E27790
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Trophies
"Trophies" is a hip-hop track produced by Hit-Boy, best known for its triumphant, horn-driven beat and association with rapper Drake.
|
E148693
|
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: Trophies | Statement: [Hit-Boy, notableWork, Trophies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trophies Context triple: [Hit-Boy, notableWork, Trophies]
-
A.
Trophy Point
Trophy Point is a scenic overlook and historic parade ground at the United States Military Academy, renowned for its Hudson River views and display of captured artillery.
-
B.
Trophis
Trophis is a small genus of flowering trees and shrubs in the mulberry family, known for its tropical distribution and simple, often leathery leaves.
-
C.
Memorabilia
Memorabilia is a Socratic dialogue by Xenophon that presents recollections of Socrates’ conversations to defend his character and philosophy.
-
D.
Tally
Tally is a common nickname for Tallahassee, the capital city of the U.S. state of Florida.
-
E.
Schatz
Schatz is a German-language surname borne by various individuals of German and Jewish heritage.
- 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: Trophies Triple: [Hit-Boy, notableWork, Trophies]
Generated description
"Trophies" is a hip-hop track produced by Hit-Boy, best known for its triumphant, horn-driven beat and association with rapper Drake.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trophies Target entity description: "Trophies" is a hip-hop track produced by Hit-Boy, best known for its triumphant, horn-driven beat and association with rapper Drake.
-
A.
Trophy Point
Trophy Point is a scenic overlook and historic parade ground at the United States Military Academy, renowned for its Hudson River views and display of captured artillery.
-
B.
Trophis
Trophis is a small genus of flowering trees and shrubs in the mulberry family, known for its tropical distribution and simple, often leathery leaves.
-
C.
Memorabilia
Memorabilia is a Socratic dialogue by Xenophon that presents recollections of Socrates’ conversations to defend his character and philosophy.
-
D.
Tally
Tally is a common nickname for Tallahassee, the capital city of the U.S. state of Florida.
-
E.
Schatz
Schatz is a German-language surname borne by various individuals of German and Jewish heritage.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c115ba64819081c55fa6807e19ef |
completed | March 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb3046a888190956f6bedb6ec589f |
completed | March 7, 2026, 11:21 p.m. |
| NEDg | Description generation | batch_69acb370c7cc81908a78bb5438416db6 |
completed | March 7, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acb409b4d0819081266cf3e6c09164 |
completed | March 7, 2026, 11:26 p.m. |
Created at: March 1, 2026, 7:51 p.m.