Triple
T9327982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He Loves and She Loves |
E224441
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | He Loves and She Loves |
E224441
|
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: He Loves and She Loves | Statement: [He Loves and She Loves, hasTitle, He Loves and She Loves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: He Loves and She Loves Context triple: [He Loves and She Loves, hasTitle, He Loves and She Loves]
-
A.
He Loves and She Loves
chosen
"He Loves and She Loves" is a romantic song by George and Ira Gershwin, introduced in the 1927 musical film "Funny Face."
-
B.
For Love’s Sake
For Love’s Sake is a song by American country artist Dwight Yoakam, featured on his 2000 album "Tomorrow’s Sounds Today."
-
C.
Do You Love Her
"Do You Love Her" is a song featured on the album "Romance Dance" by Kim Carnes.
-
D.
And I Love Her
"And I Love Her" is a romantic ballad by the Beatles, written primarily by Paul McCartney, noted for its gentle melody and acoustic arrangement.
-
E.
True Loves
"True Loves" is a song by Canadian singer-songwriter Rufus Wainwright, featured on his album *All Days Are Nights: Songs for Lulu*.
- 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37aa78648190b786b50402b15569 |
completed | April 1, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7f345d88190912b0f10e7ab68be |
completed | April 4, 2026, 8:12 a.m. |
Created at: March 30, 2026, 7:39 p.m.