Triple
T3497476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tricky Stewart |
E73885
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Touch My Body |
E148867
|
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: Touch My Body | Statement: [Tricky Stewart, notableWork, Touch My Body]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Touch My Body Context triple: [Tricky Stewart, notableWork, Touch My Body]
-
A.
Touch My Body
chosen
"Touch My Body" is a 2008 R&B-pop single by Mariah Carey, known for its playful lyrics and catchy melody, which became one of her later-career hits.
-
B.
Touch Me
"Touch Me" is an R&B song by American singer-songwriter Victoria Monét, known for its sensual lyrics and smooth, atmospheric production.
-
C.
Rock Your Body
"Rock Your Body" is a 2003 dance-pop and R&B single by Justin Timberlake, produced by The Neptunes and known for its infectious groove and success as one of his signature solo hits.
-
D.
Touch Me Not
Touch Me Not is the English translation of the Latin motto of the U.S. Army’s 3rd Infantry Regiment, known as “The Old Guard.”
-
E.
Get Me Bodied
"Get Me Bodied" is an upbeat R&B/dance song by Beyoncé known for its energetic choreography and party anthem vibe.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbd299ec8190b76b165b2fd70537 |
completed | March 8, 2026, 6:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373d011c0819088245afe03be3c44 |
completed | March 13, 2026, 2:17 a.m. |
Created at: March 8, 2026, 3:18 p.m.