Triple
T32106129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Night I Made a Little Girl Cry |
E819986
|
entity |
| Predicate | placeOfOriginOfPerformer |
P180954
|
FINISHED |
| Object | Liverpool |
—
|
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: Liverpool | Statement: [Last Night I Made a Little Girl Cry, placeOfOriginOfPerformer, Liverpool]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfOriginOfPerformer Context triple: [Last Night I Made a Little Girl Cry, placeOfOriginOfPerformer, Liverpool]
-
A.
performerOrigin
Indicates that a performer originates from, or is associated with, a particular place or region.
-
B.
originalPerformerNationality
Indicates the country or national identity associated with the performer who first performed the work or role.
-
C.
countryOfOriginForMusicCareer
Indicates the country where an artist’s professional music career was primarily started or established.
-
D.
musicArtistOriginCity
chosen
Indicates the city from which a music artist originates or is primarily associated.
-
E.
countryOfOriginOfComposer
Indicates the country from which a composer originates or is associated as their place of origin.
- 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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 1, 2026, 12:27 a.m.