Triple
T35192670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bronson Alcott High School |
E1016161
|
entity |
| Predicate | fictionalStudentBodyCharacteristic |
P151325
|
FINISHED |
| Object | wealthy students |
—
|
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: wealthy students | Statement: [Bronson Alcott High School, fictionalStudentBodyCharacteristic, wealthy students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalStudentBodyCharacteristic Context triple: [Bronson Alcott High School, fictionalStudentBodyCharacteristic, wealthy students]
-
A.
fictionalCharacter
Indicates that one entity is a fictional character that appears within the narrative world of another entity (such as a work, series, or franchise).
-
B.
notableTraitInFiction
chosen
Indicates that a particular trait, characteristic, or quality is especially prominent or defining for an entity within fictional works.
-
C.
characterSetting
Indicates that a character is associated with, appears in, or is situated within a particular setting or environment.
-
D.
featuresFictionalForm
Indicates that one entity includes, presents, or incorporates a fictional representation or version of another entity.
-
E.
fictionalCharacterAssisted
Indicates that one fictional character provided help, support, or assistance to another fictional character.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fef5cf8da881908260ec633830375d |
completed | May 9, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69fef455e40481909861c82007b79bc0 |
completed | May 9, 2026, 8:46 a.m. |
Created at: May 3, 2026, 4:02 p.m.