Triple
T14515506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Are Young Money |
E340505
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object |
Roger That
"Roger That" is a hip hop song by Young Money Entertainment featuring prominent label artists, known for its catchy hook and showcasing the collective's star power.
|
E1103085
|
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: Roger That | Statement: [We Are Young Money, track, Roger That]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger That Context triple: [We Are Young Money, track, Roger That]
-
A.
Rodger
Rodger is the surname of Lord Rodger of Earlsferry, a prominent Scottish jurist who served as a Justice of the Supreme Court of the United Kingdom.
-
B.
Ray Rigby
Ray Rigby was a British screenwriter best known for his work on war and action films in the mid-20th century.
-
C.
Gaultier
Gaultier is a French surname and given name, most famously associated with the avant-garde fashion designer Jean Paul Gaultier.
-
D.
Tony Wane
Tony Wane was an actor known for his role in the 1935 British film "Sanders of the River."
-
E.
Gordon Rigby
Gordon Rigby was a screenwriter active during the silent film era, known for his work on early 20th-century American cinema.
- 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: Roger That Triple: [We Are Young Money, track, Roger That]
Generated description
"Roger That" is a hip hop song by Young Money Entertainment featuring prominent label artists, known for its catchy hook and showcasing the collective's star power.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roger That Target entity description: "Roger That" is a hip hop song by Young Money Entertainment featuring prominent label artists, known for its catchy hook and showcasing the collective's star power.
-
A.
Rodger
Rodger is the surname of Lord Rodger of Earlsferry, a prominent Scottish jurist who served as a Justice of the Supreme Court of the United Kingdom.
-
B.
Ray Rigby
Ray Rigby was a British screenwriter best known for his work on war and action films in the mid-20th century.
-
C.
Gaultier
Gaultier is a French surname and given name, most famously associated with the avant-garde fashion designer Jean Paul Gaultier.
-
D.
Tony Wane
Tony Wane was an actor known for his role in the 1935 British film "Sanders of the River."
-
E.
Gordon Rigby
Gordon Rigby was a screenwriter active during the silent film era, known for his work on early 20th-century American cinema.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6d82988190b6f957012bcc63d4 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da80dc88190afa96760efb0c7de |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6f24431c81908a25ad81c28da56d |
completed | May 8, 2026, 5:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6ff5a58881909987fa653e58a197 |
completed | May 8, 2026, 5:09 a.m. |
Created at: April 10, 2026, 1:21 a.m.