Triple
T12105164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pippin |
E288282
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Love Song |
E585983
|
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 Song | Statement: [Pippin, notableSong, Love Song]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Song Context triple: [Pippin, notableSong, Love Song]
-
A.
Love Song
"Love Song" is a folk-influenced ballad by Elton John, written with lyricist Lesley Duncan and known for its gentle melody and introspective lyrics.
-
B.
Love Song
"Love Song" is a 2007 piano-driven pop single by Sara Bareilles that became her breakout hit and is known for its catchy melody and defiant lyrics about artistic independence.
-
C.
Love Song
chosen
"Love Song" is a track by the band Sap, likely featuring their characteristic style and themes within its genre.
-
D.
Love in Song
"Love in Song" is a melancholic, orchestral-tinged track by Paul McCartney and Wings from their 1975 album *Venus and Mars*.
-
E.
A Love Song
"A Love Song" is a country-pop ballad recorded by Kenny Rogers that became one of his notable hits in the early 1980s.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91561eaec819096ba00682d81f41a |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f677039481908f14fa12b9b86910 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.