Triple
T21460667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eyes of a Stranger |
E529460
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Love Always |
—
|
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: Love Always | Statement: [Eyes of a Stranger, hasPart, Love Always]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Always Context triple: [Eyes of a Stranger, hasPart, Love Always]
-
A.
Love Always
chosen
"Love Always" is a romantic R&B ballad by American singer El DeBarge, known for its smooth vocals and heartfelt lyrics.
-
B.
Forever & Always
"Forever & Always" is a country-pop breakup song by Taylor Swift, featured on her album "Fearless" and known for its emotional lyrics about a sudden end to a relationship.
-
C.
Always & Forever
"Always & Forever" is a song featured on the album "Flesh & Blood."
-
D.
For Now, For Always
"For Now, For Always" is a romantic ballad featured in the 1961 Disney film *The Parent Trap*.
-
E.
Always (But Not Forever)
Always (But Not Forever) is a semi-autobiographical romantic drama film written and directed by Henry Jaglom that explores the complexities of love, divorce, and reconciliation.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9ee10ec8190a606aa64001af35e |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:09 p.m.