Triple
T13994776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamaljit Singh Jhooti |
E336665
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Ride It |
E336668
|
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: Ride It | Statement: [Kamaljit Singh Jhooti, notableWork, Ride It]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ride It Context triple: [Kamaljit Singh Jhooti, notableWork, Ride It]
-
A.
Ride It
chosen
"Ride It" is a popular R&B-influenced pop song by British singer Jay Sean that became one of his breakout international hits.
-
B.
Ride On
Ride On is a public bus transit system operating local and regional routes in Montgomery County, Maryland.
-
C.
Ride On
Ride On is a rock album by former Guns N' Roses guitarist Izzy Stradlin that showcases his stripped-down, roots-influenced songwriting and guitar work.
-
D.
Let's Ride
"Let's Ride" is a track by West Coast rapper The Game from his 2006 album "Doctor's Advocate."
-
E.
Let It Ride
"Let It Ride" is a 1989 comedy film about a luck-obsessed gambler who experiences an improbably successful day at the racetrack, starring Richard Dreyfuss and featuring Teri Garr.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb53f508190855cd69b8061dd77 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9a7e8c8190a0fd0cd67ff50741 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.