Triple
T28433872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Sosa |
E715207
|
entity |
| Predicate | recordingArtistHometown |
P45545
|
FINISHED |
| Object | Chicago |
—
|
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: Chicago | Statement: [Love Sosa, recordingArtistHometown, Chicago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordingArtistHometown Context triple: [Love Sosa, recordingArtistHometown, Chicago]
-
A.
hasHometownOf
Indicates that one entity has, as its hometown, the place represented by the other entity.
-
B.
typicalArtistOrigin
Indicates that an artist is commonly or characteristically associated with originating from a particular place or region.
-
C.
performerOrigin
chosen
Indicates that a performer originates from, or is associated with, a particular place or region.
-
D.
famousRecordingArtist
Indicates that a person is widely recognized and acclaimed as a professional music recording artist.
-
E.
hometownOfHonoree
Indicates that a specified place is the hometown (place of origin or long-term residence) of the honoree.
- 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_69efd6b253888190b3c7222ed6a403a8 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: April 28, 2026, 1:41 a.m.