Triple
T33210489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neely Crenshaw |
E850141
|
entity |
| Predicate | memoryFocus |
P179863
|
FINISHED |
| Object | state championship seasons |
—
|
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: state championship seasons | Statement: [Neely Crenshaw, memoryFocus, state championship seasons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memoryFocus Context triple: [Neely Crenshaw, memoryFocus, state championship seasons]
-
A.
memory
Indicates that an entity retains, recalls, or is associated with stored information or past experiences.
-
B.
memoryFunction
Indicates a relationship where an entity serves as or performs a memory-related function for another entity or system.
-
C.
memoryDeficit
Indicates a relationship where an entity exhibits an impairment or reduction in its ability to store, retain, or recall information.
-
D.
memoryAffects
Indicates that one entity’s memory or recollection has an influence or impact on another entity or process.
-
E.
память
Indicates a relationship where an entity retains, recalls, or is associated with stored information, experiences, or data.
- 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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_69f727ad9ff88190ba8069dd48b2e98f |
completed | May 3, 2026, 10:47 a.m. |
Created at: May 1, 2026, 1:30 a.m.