Triple
T14102971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schoolly D |
E339428
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Gucci Time
"Gucci Time" is a 1980s hip hop track by rapper Schoolly D, recognized as one of his early influential songs in the genre.
|
E1080683
|
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: Gucci Time | Statement: [Schoolly D, notableSong, Gucci Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gucci Time Context triple: [Schoolly D, notableSong, Gucci Time]
-
A.
Zodiac Aerospace GMT
The Zodiac Aerospace GMT is a vintage-inspired Swiss wristwatch known for its dual-time-zone functionality and classic pilot-style design.
-
B.
Chopard Happy Sport
Chopard Happy Sport is a luxury Swiss watch collection renowned for its playful design featuring freely moving diamonds between two sapphire crystals.
-
C.
Hublot
Hublot is a Swiss luxury watchmaker known for its bold, innovative designs and fusion of traditional watchmaking with modern materials.
-
D.
L.U.C
L.U.C is Chopard’s high-end collection of in-house manufactured luxury timepieces known for refined craftsmanship and sophisticated mechanical movements.
-
E.
Swatch
Swatch is a Swiss watchmaker best known for its colorful, affordable fashion watches that helped revitalize the Swiss watch industry in the 1980s.
- 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: Gucci Time Triple: [Schoolly D, notableSong, Gucci Time]
Generated description
"Gucci Time" is a 1980s hip hop track by rapper Schoolly D, recognized as one of his early influential songs in the genre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gucci Time Target entity description: "Gucci Time" is a 1980s hip hop track by rapper Schoolly D, recognized as one of his early influential songs in the genre.
-
A.
Zodiac Aerospace GMT
The Zodiac Aerospace GMT is a vintage-inspired Swiss wristwatch known for its dual-time-zone functionality and classic pilot-style design.
-
B.
Chopard Happy Sport
Chopard Happy Sport is a luxury Swiss watch collection renowned for its playful design featuring freely moving diamonds between two sapphire crystals.
-
C.
Hublot
Hublot is a Swiss luxury watchmaker known for its bold, innovative designs and fusion of traditional watchmaking with modern materials.
-
D.
L.U.C
L.U.C is Chopard’s high-end collection of in-house manufactured luxury timepieces known for refined craftsmanship and sophisticated mechanical movements.
-
E.
Swatch
Swatch is a Swiss watchmaker best known for its colorful, affordable fashion watches that helped revitalize the Swiss watch industry in the 1980s.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fbbf0b08190ba1ea3657d6db005 |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0b2ade08190a56e9ecf659f83b9 |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd854824c8190b71001a8c67ad229 |
completed | May 7, 2026, 6:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd91c3aac8190a569c6818cf1dabd |
completed | May 7, 2026, 6:25 p.m. |
Created at: April 9, 2026, 10:22 p.m.