Triple
T15202087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passion |
E363292
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | "Loving You" |
E858435
|
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: "Loving You" | Statement: [Passion, notableSong, "Loving You"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Loving You" Context triple: [Passion, notableSong, "Loving You"]
-
A.
"I Love You"
"I Love You" is a popular song recorded by American singer Teresa Brewer, known for her lively pop and traditional vocal style in the mid-20th century.
-
B.
Loving You
chosen
Loving You is a 1957 musical drama film starring Elvis Presley, notable as his first starring movie role and produced by influential Hollywood producer Hal B. Wallis.
-
C.
“I’m Gonna Love You”
“I’m Gonna Love You” is an R&B song written and produced by Shep Crawford, known for his emotionally driven, soulful ballads.
-
D.
"Does He Love You"
"Does He Love You" is a hit country duet, originally recorded by Reba McEntire and Linda Davis, known for its dramatic narrative about a love triangle and emotional vocal performances.
-
E.
Lovin' You
"Lovin' You" is a smooth R&B single by American singer Sparkle, best known for its soulful vocals and late-1990s contemporary sound.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b588b88190a88e91d521acbdfe |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3390b708190b10c876c437c72c8 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:10 a.m.