Triple
T23272602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Moonglows |
E588329
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Most of All |
—
|
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: Most of All | Statement: [The Moonglows, notableWork, Most of All]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Most of All Context triple: [The Moonglows, notableWork, Most of All]
-
A.
Most of All
chosen
"Most of All" is a doo-wop song recorded by the American vocal group The Marcels, known for their distinctive harmonies and early 1960s pop sound.
-
B.
The Most of It
"The Most of It" is a contemplative poem by Robert Frost that explores themes of solitude, human longing, and the search for meaning in the natural world.
-
C.
All in All
"All in All" is a song best known as a 1978 disco and R&B hit by the American group Earth, Wind & Fire.
-
D.
Above All
"Above All" is a widely known contemporary Christian worship song, popularized by Michael W. Smith for its reflective lyrics on the supremacy and sacrifice of Jesus.
-
E.
All Over
"All Over" is a popular Afrobeats love song by Nigerian singer Tiwa Savage that helped solidify her status as a leading figure in contemporary African pop music.
- 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1957518f88190bdd88ccc4e295668 |
completed | April 29, 2026, 5:21 a.m. |
Created at: April 17, 2026, 4:47 p.m.