Triple
T34006992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Tall Sally (The Beatles EP) |
E871991
|
entity |
| Predicate | leadVocalsOnTrack_Slow Down |
P168724
|
FINISHED |
| Object | John Lennon |
—
|
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: John Lennon | Statement: [Long Tall Sally (The Beatles EP), leadVocalsOnTrack_Slow Down, John Lennon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadVocalsOnTrack_Slow Down Context triple: [Long Tall Sally (The Beatles EP), leadVocalsOnTrack_Slow Down, John Lennon]
-
A.
usesLeadVocalsFrom
Indicates that one musical work incorporates or is built around the lead vocal track taken from another work.
-
B.
leadVocalForBandOnSong
chosen
Indicates that a person performs the lead vocal role for a specific band on a particular song.
-
C.
hasNoLeadVocals
Indicates that the referenced musical work or track does not feature any lead vocal performance.
-
D.
hasBackwardVocals
Indicates that the subject uses or contains backward (reversed) vocal audio in relation to the object.
-
E.
hasVocals
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
- F. None of above.
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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:50 a.m.