Triple
T23253977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamb |
E581812
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Softly |
—
|
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: Softly | Statement: [Lamb, notableSong, Softly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Softly Context triple: [Lamb, notableSong, Softly]
-
A.
Softly
chosen
Softly is a song featured on the album "Blush."
-
B.
Softly, Softly
Softly, Softly is a British police procedural television series from the 1960s that followed regional crime squads and became well known for its realistic depiction of police work.
-
C.
Softly and Tenderly
"Softly and Tenderly" is a classic Christian hymn, often sung as an invitation song, known for its gentle melody and themes of Jesus calling believers to come home.
-
D.
Tenderly
"Tenderly" is a popular jazz standard and romantic ballad that has been widely recorded by prominent jazz and pop artists.
-
E.
Love So Soft
"Love So Soft" is a soulful pop single by American singer Kelly Clarkson, known for its powerful vocals and retro-inspired production.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f9d904819097315c9bf031f667 |
completed | April 29, 2026, 5:15 a.m. |
Created at: April 17, 2026, 4:11 p.m.