Triple
T18503234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic Stick |
E452131
|
entity |
| Predicate | followsSingle |
P9710
|
FINISHED |
| Object | The Jump Off |
—
|
NE NERFINISHED |
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: The Jump Off | Statement: [Magic Stick, followsSingle, The Jump Off]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Jump Off Context triple: [Magic Stick, followsSingle, The Jump Off]
-
A.
The Jump Off
chosen
"The Jump Off" is a hit single by American rapper Lil' Kim from her 2003 album *La Bella Mafia*, known for its club-ready production and catchy hook.
-
B.
The Jump
"The Jump" is a song by the British electronic music duo The Voice.
-
C.
The Jump
The Jump is an ESPN basketball-focused talk show that features analysis, interviews, and discussion of NBA news and storylines.
-
D.
The Big Jump
The Big Jump is a science fiction novel by Leigh Brackett that follows a perilous interstellar expedition to a distant star system and the mysteries surrounding a previous failed mission.
-
E.
Claim Jumper
Claim Jumper is an American casual dining restaurant chain known for its large portions and classic comfort-food menu.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c6384c819091f061c8538f6ca1 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 11:36 a.m.