Triple
T3130790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chester French |
E65406
|
entity |
| Predicate | release |
P5043
|
FINISHED |
| Object | She Loves Everybody |
E329679
|
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: She Loves Everybody | Statement: [Chester French, release, She Loves Everybody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: She Loves Everybody Context triple: [Chester French, release, She Loves Everybody]
-
A.
She Loves Everybody
chosen
"She Loves Everybody" is an indie pop/rock song by the band Chester French that gained attention in the late 2000s for its catchy hooks and witty, satirical lyrics.
-
B.
Why I Love You
"Why I Love You" is a song by Jay-Z and Kanye West from their collaborative album *Watch the Throne*, known for its dramatic production and themes of loyalty and betrayal.
-
C.
Only Love
"Only Love" is a popular song performed by Greek singer Nana Mouskouri that became one of her signature international hits.
-
D.
He Loves and She Loves
"He Loves and She Loves" is a romantic song by George and Ira Gershwin, introduced in the 1927 musical film "Funny Face."
-
E.
Here’s Love
"Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada54b0e688190b691771f17f4c721 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224d860dc819095a864619bc29411 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:04 p.m.