Triple
T15349505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Live Love |
E367012
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Love Theory |
E367017
|
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 Theory | Statement: [Long Live Love, hasPart, Love Theory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Theory Context triple: [Long Live Love, hasPart, Love Theory]
-
A.
Love Theory
chosen
"Love Theory" is a contemporary gospel song by Kirk Franklin that blends upbeat R&B-influenced production with lyrics celebrating God’s love and grace.
-
B.
Love Obsession
Love Obsession is a track from Bobby Brown’s 1986 R&B album "King of Stage."
-
C.
Love and Truth
Love and Truth is the English rendering of Dominican University's guiding motto, expressing its core values of compassion and pursuit of knowledge.
-
D.
Love etc.
"Love etc." is a 2009 synth-pop single by the English duo Pet Shop Boys, known for its critique of consumerism and modern relationships.
-
E.
Love and Happiness
"Love and Happiness" is a classic soul song by Al Green, celebrated for its uplifting groove, emotive vocals, and enduring influence on R&B music.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e27f8a88190a0f65756e3a1fdfc |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01fb46b48190a030e40ee0163559 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.