Triple
T30935597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Brown |
E788114
|
entity |
| Predicate | fronted |
P172852
|
FINISHED |
| Object | The James Brown Band |
—
|
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: The James Brown Band | Statement: [James Brown, fronted, The James Brown Band]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fronted Context triple: [James Brown, fronted, The James Brown Band]
-
A.
front
Indicates that one entity is located directly before or facing another entity along a primary viewing or movement direction.
-
B.
frontAgainst
Indicates that one entity is positioned with its front side directly facing or pressed against the surface or side of another entity.
-
C.
frontIn
Indicates that one entity is positioned directly in front of another entity in space or sequence.
-
D.
frontOf
Indicates that one entity is positioned directly before another along a primary viewing or movement direction.
-
E.
frontAffected
Indicates that an action, event, or condition primarily impacts the front side or front-facing part of an entity.
- F. None of above. chosen
Provenance (4 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_69f224c0b7fc819090cb89df60d23653 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 29, 2026, 8:52 p.m.