Triple
T29000058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucero |
E736273
|
entity |
| Predicate | roleOfJohn C. Stubblefield |
P168121
|
FINISHED |
| Object | bass |
—
|
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: bass | Statement: [Lucero, roleOfJohn C. Stubblefield, bass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfJohn C. Stubblefield Context triple: [Lucero, roleOfJohn C. Stubblefield, bass]
-
A.
roleOfJohn Fred Young
Indicates that John holds or performs the role associated with Fred Young.
-
B.
roleOfAlfred C. Liggins III
Indicates that the specified entity holds or has held a particular role, position, or function associated with Alfred C. Liggins III.
-
C.
Robert Smith Todd_role
Indicates that Robert Smith Todd holds or held a particular role, position, or function in relation to another entity.
-
D.
Cornelius Ennis
Indicates a relationship or association involving the entity or name “Cornelius Ennis,” such as authorship, attribution, or participation in an event or context.
-
E.
Warren Bennett
Indicates a relationship or action involving an entity named "Warren Bennett," though the specific nature of the relationship or action is not defined by the predicate alone.
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 28, 2026, 9:34 a.m.