Triple
T32220709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Crouch |
E823054
|
entity |
| Predicate | collegeStatCategory |
P190365
|
FINISHED |
| Object | passing yards |
—
|
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: passing yards | Statement: [Eric Crouch, collegeStatCategory, passing yards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeStatCategory Context triple: [Eric Crouch, collegeStatCategory, passing yards]
-
A.
collegeMajor
Indicates that a person’s primary field of academic study at a college or university is a specified subject or discipline.
-
B.
collegeStatus
Indicates the current relationship or standing an individual has with a college, such as enrolled, graduated, or withdrawn.
-
C.
stateOfCollege
Indicates the condition or status that a college is currently in (e.g., operational, closed, accredited).
-
D.
campusCategory
Indicates the classification or type assigned to a campus within a broader organizational or geographic system.
-
E.
collegeLevel
Indicates the academic level or year of study a person has reached within a college or university program.
- 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_69f3490b4f948190b99e4f999f5be25f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc4b5f22c8190b8b256adbdc2570c |
completed | May 7, 2026, 4:58 p.m. |
Created at: May 1, 2026, 12:38 a.m.