Triple
T14611701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian McKnight (album) |
E342975
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | “Love Me, Hold Me” |
E1109791
|
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: “Love Me, Hold Me” | Statement: [Brian McKnight (album), single, “Love Me, Hold Me”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Love Me, Hold Me” Context triple: [Brian McKnight (album), single, “Love Me, Hold Me”]
-
A.
“Love Me, Hold Me”
chosen
“Love Me, Hold Me” is a song by American R&B singer Brian McKnight from his self-titled debut studio album.
-
B.
Love's Gotta Hold on Me
"Love's Gotta Hold on Me" is a disco-influenced pop single by the British duo Dollar, known for its catchy melody and early-1980s production style.
-
C.
“Luv Me Luv Me”
“Luv Me Luv Me” is a song featured on the album *Forever*.
-
D.
“My Love”
“My Love” is a song by the British rock band Green Man.
-
E.
"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.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb450e6588190a94488d8e71888c8 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5cbcf08819084313bf28f0bb3e1 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:25 a.m.