Triple
T8176124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grateful |
E190939
|
entity |
| Predicate | hasHitSingle |
P15293
|
FINISHED |
| Object | I’m the One |
E186780
|
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: I’m the One | Statement: [Grateful, hasHitSingle, I’m the One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I’m the One Context triple: [Grateful, hasHitSingle, I’m the One]
-
A.
I’m the One
chosen
"I'm the One" is a 2017 chart-topping hip-hop/pop single by DJ Khaled featuring Justin Bieber, Quavo, Chance the Rapper, and Lil Wayne.
-
B.
I Am the One
"I Am the One" is a pivotal rock-infused musical number from the Broadway show Next to Normal that explores the family's emotional turmoil and fractured relationships.
-
C.
You’re the One
"You’re the One" is a song featured on the soundtrack of the 1993 romantic crime film "True Romance."
-
D.
I Was the One
"I Was the One" is a 1956 rock and roll ballad recorded by Elvis Presley, known as the B-side to his breakthrough hit "Heartbreak Hotel."
-
E.
Only One
"Only One" is a song by Canadian singer-songwriter Jessie Reyez that showcases her raw, emotional vocal style and confessional lyricism.
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4ab8295081909a450fcaa34f6ec6 |
completed | March 31, 2026, 4:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf75bf2481908d585f7017be36a5 |
completed | April 1, 2026, 6:47 a.m. |
Created at: March 30, 2026, 5:40 p.m.