Triple
T35200409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Abundance |
E1016381
|
entity |
| Predicate | typeOfOrganizationInFiction |
P81118
|
FINISHED |
| Object | chosen family |
—
|
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: chosen family | Statement: [House of Abundance, typeOfOrganizationInFiction, chosen family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfOrganizationInFiction Context triple: [House of Abundance, typeOfOrganizationInFiction, chosen family]
-
A.
fictionalEntityType
chosen
Indicates that the subject is classified as a particular type or category of fictional entity within a narrative or imaginary context.
-
B.
worksForFictionalOrganization
Indicates that an entity is employed by or affiliated as a worker with a fictional organization.
-
C.
bodyTypeInFiction
Indicates how a particular body type is portrayed, characterized, or represented within fictional works.
-
D.
fictionalOrganizationTheme
Indicates that a fictional organization is associated with, characterized by, or centered around a particular thematic concept or motif.
-
E.
setInFictionalOrganization
Indicates that an entity is located within, associated with, or takes place inside a fictional organization.
- 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_69f76dde814c8190a71f60d514a424a4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a019b8995dc819088727aa023beadce |
completed | May 11, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_6a01961bb748819096a941f1b5443908 |
completed | May 11, 2026, 8:40 a.m. |
Created at: May 3, 2026, 4:02 p.m.