Triple
T22271897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jalen Suggs |
E550497
|
entity |
| Predicate | highSchoolFootballPosition |
P43739
|
FINISHED |
| Object | quarterback |
—
|
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: quarterback | Statement: [Jalen Suggs, highSchoolFootballPosition, quarterback]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highSchoolFootballPosition Context triple: [Jalen Suggs, highSchoolFootballPosition, quarterback]
-
A.
highSchoolPositionPlayed
chosen
Indicates the specific playing position an individual held on a high school sports team.
-
B.
HeismanTrophyPosition
Indicates the playing position associated with a recipient of the Heisman Trophy.
-
C.
playedHighSchoolFootballAt
Indicates that a person was a member of and participated in a high school football team at a specific school.
-
D.
defensivePositionHeldBy
Indicates that a specific defensive position or role is occupied or maintained by a particular entity.
-
E.
highSchoolAllAmerican
Indicates that a person was selected as a high school All-American, recognizing them as one of the top high school athletes in their sport at the national level.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea449648190bb89ca292d32f59d |
completed | April 29, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e72ff0363081909f794d19c8a64837 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:40 p.m.