Triple
T19666592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weld |
E472215
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | Love and Only Love |
—
|
NE NERFINISHED |
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 and Only Love | Statement: [Weld, includesSong, Love and Only Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love and Only Love Context triple: [Weld, includesSong, Love and Only Love]
-
A.
Love and Only Love
chosen
"Love and Only Love" is a lengthy, feedback-drenched rock song by Neil Young & Crazy Horse, known for its hypnotic guitar jams and themes of enduring love.
-
B.
It’s Only Love
"It’s Only Love" is a song by the Beatles, written primarily by John Lennon and released on their 1965 album Help!.
-
C.
It's Only Love
"It's Only Love" is a country song popularized by American singer Jeannie Seely.
-
D.
Only Love
"Only Love" is a popular song performed by Greek singer Nana Mouskouri that became one of her signature international hits.
-
E.
For Love Alone
"For Love Alone" is a romance novel written by Ivana Trump that draws on her experiences in high society and glamorous international settings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641694e448190bc734c07ae2df024 |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.