Triple
T38339314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tajuan Law |
E1038047
|
entity |
| Predicate | playedForHighSchool |
P25931
|
FINISHED |
| Object | Aliquippa High School |
—
|
NE NERFINISHED |
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: Aliquippa High School | Statement: [Tajuan Law, playedForHighSchool, Aliquippa High School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedForHighSchool Context triple: [Tajuan Law, playedForHighSchool, Aliquippa High School]
-
A.
playedHighSchoolBasketballAt
chosen
Indicates that a person was a member of and participated on the basketball team of a particular high school.
-
B.
formerHighSchool
Indicates that one entity previously attended or was enrolled at the other entity as their high school.
-
C.
playedHighSchoolBasketballIn
Indicates that a person participated in playing basketball at the high school level in a specified location or institution.
-
D.
playedHighSchoolBasketballWith
Indicates that two people were teammates on the same high school basketball team.
-
E.
attendedHighSchoolIn
Indicates that an entity completed or was enrolled in high school education in a specified location.
- 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_69f76e20d65c81909619ac0dd85c56f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fde9fc184c8190bebef35df0e76076 |
completed | May 8, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69fde6e5beb4819094945a695e961d88 |
completed | May 8, 2026, 1:36 p.m. |
Created at: May 3, 2026, 4:30 p.m.