Triple
T22271895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jalen Suggs |
E550497
|
entity |
| Predicate | isMultiSportAthleteInHighSchool |
P72873
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Jalen Suggs, isMultiSportAthleteInHighSchool, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMultiSportAthleteInHighSchool Context triple: [Jalen Suggs, isMultiSportAthleteInHighSchool, true]
-
A.
hasAthletics
Indicates that an entity participates in, is associated with, or offers athletics-related activities or programs.
-
B.
hasAthlete
Indicates a relationship where an entity (such as a team, organization, or event) includes or is associated with one or more athletes.
-
C.
highSchoolSportStrength
Indicates that a particular sport is characterized by a high level of physical strength in the context of high school athletics.
-
D.
isIntercollegiate
Indicates that an activity, competition, or relationship occurs between different colleges or universities rather than within a single institution.
-
E.
multiSport
chosen
Indicates that an entity participates in, is associated with, or is designed for more than one sport.
- 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.