Triple
T10432292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dancing with a Stranger |
E245944
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Normani |
E48121
|
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: Normani | Statement: [Dancing with a Stranger, featuresArtist, Normani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Normani Context triple: [Dancing with a Stranger, featuresArtist, Normani]
-
A.
Normani
chosen
Normani is an American singer, dancer, and former Fifth Harmony member known for her dynamic R&B-pop music and highly choreographed performances.
-
B.
Khleo Thomas
Khleo Thomas is an American actor and rapper best known for playing Zero in the film adaptation of the novel "Holes."
-
C.
Victoria Monét
Victoria Monét is an American singer, songwriter, and producer known for her solo R&B work and for writing hits for artists like Ariana Grande.
-
D.
Meghan Trainor
Meghan Trainor is an American singer-songwriter and pop artist best known for her retro-influenced hits like "All About That Bass" and her body-positive, doo-wop-inspired sound.
-
E.
MØ
MØ is a Danish singer and songwriter known for her electro-pop sound and international hits like "Lean On" with Major Lazer.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea64f12c81909861d0d5165da2a2 |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e215e3c3c88190833c1f56288629a2 |
completed | April 17, 2026, 11:13 a.m. |
Created at: April 6, 2026, 12:13 p.m.