Triple
T35253574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horace Green Preparatory School |
E1018162
|
entity |
| Predicate | targetDemographicInFiction |
P138908
|
FINISHED |
| Object | children of wealthy families |
—
|
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: children of wealthy families | Statement: [Horace Green Preparatory School, targetDemographicInFiction, children of wealthy families]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetDemographicInFiction Context triple: [Horace Green Preparatory School, targetDemographicInFiction, children of wealthy families]
-
A.
targetAudienceWithinFiction
chosen
Indicates that the intended audience of a work exists as characters or entities within the fictional world depicted by that work.
-
B.
targetInFiction
Indicates that one entity is the target or subject of an action, focus, or effect within a fictional work or narrative context.
-
C.
audienceCompositionInFiction
Indicates the relationship between a fictional work and the makeup or characteristics of the audience depicted within that fictional context.
-
D.
hasFictionalDemographic
Indicates that an entity is associated with a demographic group that is fictional or exists only within a created narrative or imagined context.
-
E.
mangaDemographic
Indicates the target readership demographic that a manga is primarily intended for.
- 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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fecb4d02f881909a9ee97ce98000d5 |
completed | May 9, 2026, 5:51 a.m. |
| PD | Predicate disambiguation | batch_69fec9846c1c8190b317f0711f0755db |
completed | May 9, 2026, 5:43 a.m. |
Created at: May 3, 2026, 4:02 p.m.