Triple
T3299941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wally Lewis |
E69303
|
entity |
| Predicate | Lincoln Lewis |
P47844
|
FINISHED |
| Object | instanceOf |
—
|
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: instanceOf | Statement: [Wally Lewis, Lincoln Lewis, instanceOf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Lincoln Lewis Context triple: [Wally Lewis, Lincoln Lewis, instanceOf]
-
A.
Ron Harper
Indicates a relationship or action involving Ron Harper, such as participation, association, or attribution connected to this individual.
-
B.
Eric Bakhtiari
Indicates a relationship or action involving the entity named "Eric Bakhtiari," such as participation, association, or attribution connected to him.
-
C.
Michael Bradley
Indicates a relationship or action involving an entity named Michael Bradley, though the specific nature of the relationship or action is not defined by the predicate alone.
-
D.
Perlmutter
Indicates a relationship or action associated with the name "Perlmutter," such as authorship, attribution, or involvement, depending on the specific ontology or dataset in which it appears.
-
E.
Michael CurryTitle
Indicates that an entity holds the specific title or position associated with Michael Curry.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0a66fcc819093931fe7a6507723 |
completed | March 8, 2026, 5:23 p.m. |
| PD | Predicate disambiguation | batch_69ada42407dc81909f60d7a14e1b7934 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada526764881908e4bd52938d5374d |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:11 p.m.