Triple
T15909220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aaron Samuels |
E385801
|
entity |
| Predicate | highSchoolStatus |
P121010
|
FINISHED |
| Object | popular student |
—
|
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: popular student | Statement: [Aaron Samuels, highSchoolStatus, popular student]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highSchoolStatus Context triple: [Aaron Samuels, highSchoolStatus, popular student]
-
A.
stateOfHighSchool
Indicates the U.S. state in which a given high school is located or operates.
-
B.
highSchoolAchievement
Indicates the level or nature of a person’s academic or related performance outcomes during their high school education.
-
C.
highSchoolSetting
Indicates that an event, interaction, or situation takes place within the context or environment of a high school.
-
D.
servesHighSchool
Indicates that an entity provides services, support, or resources specifically to a high school.
-
E.
highSchoolForMostStudents
Indicates that the referenced school is the primary high school attended by the majority of students in a given group or area.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e17d48cc9c8190b03fd07ae2e9dfd8 |
completed | April 17, 2026, 12:22 a.m. |
Created at: April 10, 2026, 4:52 a.m.