Triple
T13615527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R.E.M. |
E325300
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The One I Love |
E380861
|
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: The One I Love | Statement: [R.E.M., notableWork, The One I Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The One I Love Context triple: [R.E.M., notableWork, The One I Love]
-
A.
The One I Love
chosen
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.
-
B.
The One You Love
"The One You Love" is a song by Rufus Wainwright, known for its lush orchestration and introspective, emotionally charged lyrics.
-
C.
My Love
"My Love" is a soft rock ballad by the British-American band Wings, led by Paul McCartney, known for its lush orchestration and heartfelt lyrics.
-
D.
My Love
"My Love" is a popular pop ballad by Irish boy band Westlife, known for its heartfelt lyrics and soaring melody.
-
E.
My Love
"My Love" is an R&B song by Whitney Houston from her 2002 studio album *Just Whitney*.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0ad0a7c81909c7972187202db96 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7942e8c9c8190ab843cc4c31f512a |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:50 p.m.