Triple
T23545740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziaire Williams |
E577886
|
entity |
| Predicate | classAtCollege |
P84332
|
FINISHED |
| Object | freshman |
—
|
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: freshman | Statement: [Ziaire Williams, classAtCollege, freshman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classAtCollege Context triple: [Ziaire Williams, classAtCollege, freshman]
-
A.
stateOfCollege
Indicates the condition or status that a college is currently in (e.g., operational, closed, accredited).
-
B.
collegeMajor
Indicates that a person’s primary field of academic study at a college or university is a specified subject or discipline.
-
C.
college
Indicates that an entity is a college-level educational institution attended by or associated with another entity.
-
D.
undergraduateInstitutionOf
Indicates that one entity is the institution where the other entity completed or pursued their undergraduate studies.
-
E.
collegeLevel
chosen
Indicates the academic level or year of study a person has reached within a college or university program.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aeca3a408190899989fc8175e9c5 |
completed | April 29, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:11 p.m.