Triple
T7679047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Sitton |
E173940
|
entity |
| Predicate | collegeCareerPeriod |
P78884
|
FINISHED |
| Object | early 1980s |
—
|
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: early 1980s | Statement: [Charlie Sitton, collegeCareerPeriod, early 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeCareerPeriod Context triple: [Charlie Sitton, collegeCareerPeriod, early 1980s]
-
A.
collegeCareerStart
Indicates the time or event at which an individual begins their college-level academic career.
-
B.
collegeCareerEnd
Indicates the point or event at which an individual's college-level athletic or academic career concludes.
-
C.
studCareerBegan
Indicates that a student's professional or academic career started at a specified time or institution.
-
D.
studCareer
Indicates that a student is pursuing or associated with a particular academic or professional career path.
-
E.
studCareerStart
Indicates the point in time when a student's professional or academic career begins.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7048b0b448190889bd40e0a38e51a |
completed | March 27, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69c701618d3481908be84b76f36ac5a1 |
completed | March 27, 2026, 10:14 p.m. |
| PDg | Predicate description generation | batch_69c7048a01508190bc2e9ae8b863486c |
completed | March 27, 2026, 10:28 p.m. |
Created at: March 27, 2026, 4:01 p.m.