Triple
T3783636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unapologetic |
E85474
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Jump |
E317345
|
NE FINISHED |
How this triple was built (2 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: Jump | Statement: [Unapologetic, hasPart, Jump]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jump Context triple: [Unapologetic, hasPart, Jump]
-
A.
Pular
Pular is a major variety of the Fula (Fulfulde) language spoken primarily in Guinea and neighboring West African countries.
-
B.
"Jump"
chosen
"Jump" is a 1992 hit hip-hop single by Kris Kross, produced and written by Jermaine Dupri, that became a chart-topping anthem of early ’90s rap.
-
C.
Jumpers
Jumpers is a 1972 philosophical comedy play by Tom Stoppard that blends murder mystery, acrobatics, and debates on morality and the existence of God.
-
D.
One Jump Ahead
"One Jump Ahead" is a lively, comedic musical number from Disney's animated film Aladdin that introduces the resourceful street-urchin hero as he evades guards through Agrabah.
-
E.
Jump School
Jump School is the informal name for the U.S. Army Airborne School, where soldiers are trained in military parachuting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3dc6590819098dda08206206612 |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f04747448190be484cda5b2a7a8c |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 9, 2026, 3:13 p.m.