Triple
T3765466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony! Toni! Toné! |
E82663
|
entity |
| Predicate | hometownScene |
P49053
|
FINISHED |
| Object | Oakland music scene |
—
|
LITERAL FINISHED |
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: Oakland music scene | Statement: [Tony! Toni! Toné!, hometownScene, Oakland music scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hometownScene Context triple: [Tony! Toni! Toné!, hometownScene, Oakland music scene]
-
A.
cityScene
chosen
Indicates a scene or setting that takes place within an urban or city environment.
-
B.
placeOfUpbringing
Indicates the location where an individual was raised or spent most of their formative years.
-
C.
town
Indicates that a location is classified or functions as a town within a given geographic or administrative context.
-
D.
hasHometownOf
Indicates that one entity has, as its hometown, the place represented by the other entity.
-
E.
cityWide
Indicates that something applies to, affects, or extends across an entire 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbfeb52081909c38103beb5dbdcd |
completed | March 8, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69adc04ec36c8190bd5b944d4f4d32aa |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.