Triple
T13004725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elton Tiscia |
E322254
|
entity |
| Predicate | schoolSocialStatus |
P107788
|
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: [Elton Tiscia, schoolSocialStatus, popular student]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolSocialStatus Context triple: [Elton Tiscia, schoolSocialStatus, popular student]
-
A.
schoolStatus
Indicates the current educational situation or enrollment condition of an entity in relation to a school.
-
B.
schoolRoll
Indicates the official list or record of students enrolled in a particular school or class.
-
C.
studentsStatus
Indicates the current academic or enrollment status associated with one or more students.
-
D.
schoolBoard
Indicates that an entity serves as or is governed by a school board responsible for overseeing educational policies and administration.
-
E.
schoolClassification
Indicates how a school is categorized within an educational system, such as by level, type, or other official classification.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9a2a448190968833354280e474 |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e74283c819082e69ac3554fa7d8 |
completed | April 10, 2026, 10:49 p.m. |
Created at: April 9, 2026, 8:47 p.m.