Triple
T2811012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean McVay |
E54168
|
entity |
| Predicate | highSchoolAchievement |
P43740
|
FINISHED |
| Object | led team to state championship |
—
|
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: led team to state championship | Statement: [Sean McVay, highSchoolAchievement, led team to state championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highSchoolAchievement Context triple: [Sean McVay, highSchoolAchievement, led team to state championship]
-
A.
collegeAchievement
Indicates that an entity has attained a specific level of success, recognition, or accomplishment in a college or higher-education context.
-
B.
stateOfHighSchool
Indicates the U.S. state in which a given high school is located or operates.
-
C.
highSchoolForMostStudents
Indicates that the referenced school is the primary high school attended by the majority of students in a given group or area.
-
D.
hasNotableHighSchool
Indicates that an entity is associated with a high school that is particularly notable or significant in some recognized way.
-
E.
grades
Indicates that one entity evaluates and assigns a score or level of performance to another entity.
- F. None of above. chosen
Provenance (4 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde335b38819090c70d5e2ca14d79 |
completed | March 7, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69abdd0740208190911dc9c9546a79ae |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde0f4c648190b9812e64f30c39da |
completed | March 7, 2026, 8:13 a.m. |
Created at: March 6, 2026, 9:59 p.m.