Triple
T12234271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evolution |
E291551
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | “Lovin’, Touchin’, Squeezin’” |
E291534
|
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: “Lovin’, Touchin’, Squeezin’” | Statement: [Evolution, hasPart, “Lovin’, Touchin’, Squeezin’”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Lovin’, Touchin’, Squeezin’” Context triple: [Evolution, hasPart, “Lovin’, Touchin’, Squeezin’”]
-
A.
Lovin', Touchin', Squeezin'
chosen
"Lovin', Touchin', Squeezin'" is a 1979 rock ballad by American band Journey, known for its soulful vocals and blues-influenced style.
-
B.
Strollin'
"Strollin'" is a smooth, jazz-inflected R&B track by Prince from his early-1990s period.
-
C.
Makin’ Whoopee
"Makin’ Whoopee" is a popular jazz and pop standard, often performed as a playful, romantic duet and widely recorded by notable vocalists.
-
D.
Lots of Lovin'
"Lots of Lovin'" is a soulful, jazz-infused hip-hop track by CL Smooth (with producer Pete Rock) known for its smooth delivery and introspective lyrics.
-
E.
"That's Livin' Alright"
"That's Livin' Alright" is a rock song by Joe Fagin, best known as the theme tune to the British television drama series "Auf Wiedersehen, Pet."
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca5a06481908c7c6b715b9f6713 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aaf7b348190865a6a1b6de51753 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.