Triple
T10956397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dad Loves His Work |
E258856
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Sugar Trade
"Sugar Trade" is a song from the album *Dad Loves His Work* by James Taylor.
|
E894574
|
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: Sugar Trade | Statement: [Dad Loves His Work, hasTrack, Sugar Trade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sugar Trade Context triple: [Dad Loves His Work, hasTrack, Sugar Trade]
-
A.
Sugar
Sugar is a 1972 Broadway musical comedy with music by Jule Styne, adapted from the film "Some Like It Hot."
-
B.
Sugar
Sugar is a child-friendly, open-source learning platform and graphical interface designed to support education on low-cost laptops like those from the One Laptop per Child project.
-
C.
Sugar
"Sugar" is a 2014 pop song by American band Maroon 5, known for its catchy hook and a music video featuring surprise performances at real weddings.
-
D.
Sugar
Sugar is an American alternative rock band formed by Bob Mould in the early 1990s, known for its melodic yet heavy guitar sound and influential albums like "Copper Blue."
-
E.
Lord of Trade
The Lord of Trade was a British government office responsible for overseeing colonial and commercial affairs, particularly through the Board of Trade, during the 17th to 19th centuries.
- 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: Sugar Trade Triple: [Dad Loves His Work, hasTrack, Sugar Trade]
Generated description
"Sugar Trade" is a song from the album *Dad Loves His Work* by James Taylor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sugar Trade Target entity description: "Sugar Trade" is a song from the album *Dad Loves His Work* by James Taylor.
-
A.
Sugar
Sugar is a 1972 Broadway musical comedy with music by Jule Styne, adapted from the film "Some Like It Hot."
-
B.
Sugar
Sugar is a child-friendly, open-source learning platform and graphical interface designed to support education on low-cost laptops like those from the One Laptop per Child project.
-
C.
Sugar
"Sugar" is a 2014 pop song by American band Maroon 5, known for its catchy hook and a music video featuring surprise performances at real weddings.
-
D.
Sugar
Sugar is an American alternative rock band formed by Bob Mould in the early 1990s, known for its melodic yet heavy guitar sound and influential albums like "Copper Blue."
-
E.
Lord of Trade
The Lord of Trade was a British government office responsible for overseeing colonial and commercial affairs, particularly through the Board of Trade, during the 17th to 19th centuries.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7710088e8819099e3272e26566c44 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c72196c8190b2336a130b64ab8e |
completed | April 17, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69e2454473f48190bfd44d0d0f48bc60 |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e245f3c9988190a74ddd330621f7e1 |
completed | April 17, 2026, 2:38 p.m. |
Created at: April 8, 2026, 9:23 p.m.