Triple
T17874809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leamon King |
E446924
|
entity |
| Predicate | postAthleticCareer |
P24096
|
FINISHED |
| Object | schoolteacher |
—
|
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: schoolteacher | Statement: [Leamon King, postAthleticCareer, schoolteacher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postAthleticCareer Context triple: [Leamon King, postAthleticCareer, schoolteacher]
-
A.
sportsCareer
Indicates a relationship where an entity’s professional involvement, roles, or achievements in sports are associated with a particular sport, team, period, or competitive level.
-
B.
postPlayingCareer
chosen
Indicates a relationship where something pertains to or occurs during an entity’s period after its playing career has ended.
-
C.
clubCareerStart
Indicates the point in time when an entity begins its professional or organized club-level career.
-
D.
formerAthlete
Indicates that a person previously had the role or status of an athlete but no longer does.
-
E.
sportsAchievement
Indicates a relationship where an entity attains or is recognized for a notable accomplishment in a sports context.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa54d1481908c0af8533edd51c4 |
completed | April 19, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:18 a.m.