Triple
T20785776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Want Two |
E511632
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | The One You Love |
—
|
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: The One You Love | Statement: [Want Two, hasPart, The One You Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The One You Love Context triple: [Want Two, hasPart, The One You Love]
-
A.
The One You Love
chosen
"The One You Love" is a song by Rufus Wainwright, known for its lush orchestration and introspective, emotionally charged lyrics.
-
B.
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.
-
C.
Who You Love
"Who You Love" is a romantic duet by John Mayer and Katy Perry that blends soft rock and pop influences to explore the theme of accepting love without judgment.
-
D.
Your Love
"Your Love" is a pop and R&B song best known as a hit single co-written and produced by Pop Wansel.
-
E.
The One I Love
The One I Love is a 2014 American surreal romantic dramedy film starring Mark Duplass and Elisabeth Moss, centered on a troubled couple whose weekend retreat takes an unexpectedly bizarre turn.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28c0d0c8190aa48e6fdfdaab750 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.