Triple
T23625446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katiyana Mauga |
E583449
|
entity |
| Predicate | collegeCareerStatus |
P24370
|
FINISHED |
| Object | former college softball star |
—
|
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: former college softball star | Statement: [Katiyana Mauga, collegeCareerStatus, former college softball star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeCareerStatus Context triple: [Katiyana Mauga, collegeCareerStatus, former college softball star]
-
A.
collegeCareer
Indicates the period of a person’s academic and related activities while they are enrolled in and progressing through college.
-
B.
collegeCareerPeriod
Indicates the time span during which an individual is engaged in their college or university education and related academic activities.
-
C.
careerStatus
chosen
Indicates the current stage, position, or condition of an entity within its professional or occupational life.
-
D.
collegeCareerStart
Indicates the time or event at which an individual begins their college-level academic career.
-
E.
collegeCareerPoints
Indicates the total number of points an individual scored over the course of their college playing career.
- 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_69e248fc8d74819091bd5baef2f36f6f |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b17c993c8190bf9ee3201869d240 |
completed | April 29, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:46 p.m.