Triple
T33337766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Like Your Lovin' (Do You Like Mine?) |
E853586
|
entity |
| Predicate | performerOriginCity |
P180954
|
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: [I Like Your Lovin' (Do You Like Mine?), performerOriginCity, Chicago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performerOriginCity Context triple: [I Like Your Lovin' (Do You Like Mine?), performerOriginCity, Chicago]
-
A.
hasPerformerBirthCity
Indicates the city in which the performer was born.
-
B.
musicArtistOriginCity
chosen
Indicates the city from which a music artist originates or is primarily associated.
-
C.
performerOrigin
Indicates that a performer originates from, or is associated with, a particular place or region.
-
D.
alsoKnownForCity
Indicates that an entity is additionally recognized or notable for its association with a particular city.
-
E.
performedInCity
Indicates that an action, event, or performance took place within the boundaries of a specified city.
- 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
Created at: May 1, 2026, 1:34 a.m.