Triple
T22099724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Song of Seven |
E546135
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | For You For Me |
—
|
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: For You For Me | Statement: [Song of Seven, hasPart, For You For Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: For You For Me Context triple: [Song of Seven, hasPart, For You For Me]
-
A.
For You For Me
chosen
"For You For Me" is a track from Jon Anderson’s 1980 progressive rock solo album "Song of Seven."
-
B.
You for Me
"You for Me" is a 1952 romantic comedy film starring Jane Greer, centered on a love triangle involving a nurse, a wealthy patient, and a doctor.
-
C.
Die For You
"Die For You" is a popular R&B song by Canadian singer The Weeknd, known for its emotive vocals, atmospheric production, and enduring chart success.
-
D.
For Me, It's You
"For Me, It's You" is a studio album by the American rock band Train, known for its melodic rock sound and introspective lyrics.
-
E.
Die For Me
"Die For Me" is a song by Post Malone, featuring Future and Halsey, from his 2019 album "Hollywood’s Bleeding."
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291440048190992c48893ced0b34 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.