Triple
T23051959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five O'Clock World |
E574041
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | You're the One |
—
|
NE NERFINISHED |
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: You're the One | Statement: [Five O'Clock World, precededBy, You're the One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You're the One Context triple: [Five O'Clock World, precededBy, You're the One]
-
A.
You're the One
"You're the One" is an R&B song by the American girl group SWV, known as one of their signature hits from the mid-1990s.
-
B.
You’re the One
"You’re the One" is a song featured on the soundtrack of the 1993 romantic crime film "True Romance."
-
C.
You’re the One for Me
"You’re the One for Me" is a song by Stacy Lattisaw featured on her 1980 R&B album "Let Me Be Your Angel."
-
D.
I’m the One
"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.
-
E.
The One That You Love
"The One That You Love" is a soft rock ballad by the British-Australian duo Air Supply that became one of their biggest hits in the early 1980s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867d010c8190bc5dba6758d0b797 |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.