Triple
T524465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Here |
E10887
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Work on It
"Work on It" is a musical track, likely a song title, referenced as part of a larger recording or album.
|
E66909
|
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: Work on It | Statement: [Here, hasTrack, Work on It]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Work on It Context triple: [Here, hasTrack, Work on It]
-
A.
Live It Up
"Live It Up" is a song by John Legend from his debut studio album "Get Lifted."
-
B.
Working on a Dream
"Working on a Dream" is a 2009 rock album by Bruce Springsteen that blends optimistic, romantic themes with his signature heartland rock sound.
-
C.
Let’s Get It Started
"Let’s Get It Started" is a hit hip hop/pop single by the Black Eyed Peas known for its high-energy party vibe and widespread commercial success in the mid-2000s.
-
D.
Get on Up
Get on Up is a 2014 biographical drama film about the life and career of soul music legend James Brown.
-
E.
As We Go
As We Go is a collection of essays by American writer and editor Charles Dudley Warner, reflecting his observations on everyday life and society in the late 19th century.
- 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: Work on It Triple: [Here, hasTrack, Work on It]
Generated description
"Work on It" is a musical track, likely a song title, referenced as part of a larger recording or album.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Work on It Target entity description: "Work on It" is a musical track, likely a song title, referenced as part of a larger recording or album.
-
A.
Live It Up
"Live It Up" is a song by John Legend from his debut studio album "Get Lifted."
-
B.
Working on a Dream
"Working on a Dream" is a 2009 rock album by Bruce Springsteen that blends optimistic, romantic themes with his signature heartland rock sound.
-
C.
Let’s Get It Started
"Let’s Get It Started" is a hit hip hop/pop single by the Black Eyed Peas known for its high-energy party vibe and widespread commercial success in the mid-2000s.
-
D.
Get on Up
Get on Up is a 2014 biographical drama film about the life and career of soul music legend James Brown.
-
E.
As We Go
As We Go is a collection of essays by American writer and editor Charles Dudley Warner, reflecting his observations on everyday life and society in the late 19th century.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b656c08190b387f21b06d99e68 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4c02c26808190b3078fb04f34572c |
completed | March 1, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69a4c0b0868881909e28d253c2971618 |
completed | March 1, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4c131bd8881909501843d85145979 |
completed | March 1, 2026, 10:44 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.