Triple
T33337767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Like Your Lovin' (Do You Like Mine?) |
E853586
|
entity |
| Predicate | performerOriginState |
P45545
|
FINISHED |
| Object | Illinois |
—
|
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: Illinois | Statement: [I Like Your Lovin' (Do You Like Mine?), performerOriginState, Illinois]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performerOriginState Context triple: [I Like Your Lovin' (Do You Like Mine?), performerOriginState, Illinois]
-
A.
performerOrigin
chosen
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.
originalPerformer
Indicates that an entity is the first or initial performer of a work, role, or performance.
-
D.
performerLocation
Indicates that an entity is located at, performing at, or associated with a specific place or venue.
-
E.
hasPerformerContinent
Indicates that the performer involved in an event or work is associated with a specific continent.
- 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_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: May 1, 2026, 1:34 a.m.