Triple
T1230698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Stage |
E26434
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Take It Slow
"Take It Slow" is a song featured on the album "King of Stage" by Jamaican dancehall artist Shabba Ranks.
|
E140508
|
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: Take It Slow | Statement: [King of Stage, hasPart, Take It Slow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Take It Slow Context triple: [King of Stage, hasPart, Take It Slow]
-
A.
Take My Time
"Take My Time" is the 1981 debut studio album by Scottish singer Sheena Easton, featuring pop hits that launched her international career.
-
B.
Fast as You
"Fast as You" is a popular country song by American singer-songwriter Dwight Yoakam, known for its upbeat honky-tonk style and enduring radio appeal.
-
C.
Come and Take It
"Come and Take It" is a historic Texan slogan and flag design symbolizing defiance against disarmament, famously associated with the Texas Revolution and the Battle of Gonzales.
-
D.
Work on It
"Work on It" is a musical track, likely a song title, referenced as part of a larger recording or album.
-
E.
Come and Get It
Come and Get It is a 1936 American drama film, co-directed by Howard Hawks and William Wyler, best known for featuring Walter Brennan in an Oscar-winning supporting performance.
- 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: Take It Slow Triple: [King of Stage, hasPart, Take It Slow]
Generated description
"Take It Slow" is a song featured on the album "King of Stage" by Jamaican dancehall artist Shabba Ranks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Take It Slow Target entity description: "Take It Slow" is a song featured on the album "King of Stage" by Jamaican dancehall artist Shabba Ranks.
-
A.
Take My Time
"Take My Time" is the 1981 debut studio album by Scottish singer Sheena Easton, featuring pop hits that launched her international career.
-
B.
Fast as You
"Fast as You" is a popular country song by American singer-songwriter Dwight Yoakam, known for its upbeat honky-tonk style and enduring radio appeal.
-
C.
Come and Take It
"Come and Take It" is a historic Texan slogan and flag design symbolizing defiance against disarmament, famously associated with the Texas Revolution and the Battle of Gonzales.
-
D.
Work on It
"Work on It" is a musical track, likely a song title, referenced as part of a larger recording or album.
-
E.
Come and Get It
Come and Get It is a 1936 American drama film, co-directed by Howard Hawks and William Wyler, best known for featuring Walter Brennan in an Oscar-winning supporting performance.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be585674819099218b19ca9e7c66 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8a1457a08190aef2f7fed6c6725f |
completed | March 7, 2026, 8:27 p.m. |
| NEDg | Description generation | batch_69ac8a73ac2c8190a5617c6f3d4ae5d1 |
completed | March 7, 2026, 8:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac8afa5a4881908d8373915eaafb5b |
completed | March 7, 2026, 8:30 p.m. |
Created at: March 1, 2026, 7:47 p.m.