Triple
T35569963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Ballard |
E1027891
|
entity |
| Predicate | attendsSchoolAt |
P23183
|
FINISHED |
| Object | Breaker High |
—
|
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: Breaker High | Statement: [Max Ballard, attendsSchoolAt, Breaker High]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attendsSchoolAt Context triple: [Max Ballard, attendsSchoolAt, Breaker High]
-
A.
attendsSchoolIn
Indicates that a person is enrolled as a student at, and regularly goes to, a school located in a particular place.
-
B.
schoolAttended
chosen
Indicates that one entity has attended, or been enrolled as a student at, the school represented by the other entity.
-
C.
governingSchool
Indicates that one school has administrative or regulatory authority over another school or educational institution.
-
D.
schoolBelongsTo
Indicates that a particular school is owned by, affiliated with, or under the authority or jurisdiction of a specific organization, institution, or administrative entity.
-
E.
hasSchoolIn
Indicates that a school is located within or operates in a specified place or region.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.