Triple
T16880810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YSIV |
E421409
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Jaden Smith |
E347125
|
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: Jaden Smith | Statement: [YSIV, featuresArtist, Jaden Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaden Smith Context triple: [YSIV, featuresArtist, Jaden Smith]
-
A.
Jaden Smith
chosen
Jaden Smith is an American actor and musician, known for his breakout childhood role alongside his father Will Smith in films and his later work in experimental hip hop and fashion.
-
B.
Jaden McDaniels
Jaden McDaniels is an American professional basketball player known for his versatile defense and forward play in the NBA.
-
C.
Aggrey Jaden
Aggrey Jaden was a prominent South Sudanese nationalist leader and early figure in the struggle for Southern Sudan’s independence.
-
D.
Jaden Piner
Jaden Piner is an American actor best known for playing the young version of Kevin in the Academy Award–winning film "Moonlight."
-
E.
Scott Disick
Scott Disick is an American media personality and entrepreneur best known for his long-running appearances on the reality TV series "Keeping Up with the Kardashians" and its spin-offs.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7fa96588190837777c401880cb3 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2b8fcf081908898f5589b2455ce |
completed | May 10, 2026, 5:39 p.m. |
Created at: April 10, 2026, 5:29 a.m.