Triple
T4946533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bevo |
E111063
|
entity |
| Predicate | caretakers |
P3042
|
FINISHED |
| Object | University of Texas student group |
—
|
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: University of Texas student group | Statement: [Bevo, caretakers, University of Texas student group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: caretakers Context triple: [Bevo, caretakers, University of Texas student group]
-
A.
caregiverOf
Indicates a relationship where one entity provides ongoing care, support, or supervision for another entity’s well-being.
-
B.
sitter
chosen
Indicates that one entity is serving as a caretaker or guardian, typically watching over or looking after another entity.
-
C.
fosters
Indicates that one entity actively promotes, nurtures, or supports the growth, development, or continuation of another entity or condition.
-
D.
tookCareOf
Indicates that one entity provided care, support, or maintenance for another entity over a period of time.
-
E.
adopts
Indicates that one entity formally takes another into its care, control, or use, assuming ongoing responsibility or ownership.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70abf8dc819090269d0e1ce9f871 |
completed | March 20, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.