Triple
T20918225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trey Lance |
E515131
|
entity |
| Predicate | recruitedLevel |
P141672
|
FINISHED |
| Object | FCS |
—
|
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: FCS | Statement: [Trey Lance, recruitedLevel, FCS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recruitedLevel Context triple: [Trey Lance, recruitedLevel, FCS]
-
A.
qualificationLevel
Indicates the degree or rank of competence, certification, or formal credentials required for or possessed in relation to something.
-
B.
enrollmentLevel
Indicates the degree or status of participation an entity has in a particular enrollment context (such as a program, course, or service).
-
C.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
D.
recruitedAs
Indicates that one entity has been brought into a role, position, or organization by another through a recruitment process.
-
E.
disciplineLevel
Indicates the degree or strictness of control, order, or self-regulation applied in a given context or relationship.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec647028819082031eb706a62ad5 |
completed | April 21, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:48 p.m.