Triple
T32275780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Horror Story: Delicate |
E824539
|
entity |
| Predicate | franchiseInstallmentType |
P132983
|
FINISHED |
| Object | season of American Horror Story |
—
|
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: season of American Horror Story | Statement: [American Horror Story: Delicate, franchiseInstallmentType, season of American Horror Story]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseInstallmentType Context triple: [American Horror Story: Delicate, franchiseInstallmentType, season of American Horror Story]
-
A.
franchiseInstallmentNumber
Indicates the sequential position or installment number of a work within a larger franchise or series.
-
B.
franchiseElementType
chosen
Indicates the specific role or category that an element occupies within a franchise structure or system.
-
C.
franchiseEntryType
Indicates the specific category or type of entry by which a franchise participates or is represented within a larger system or context.
-
D.
typeOfFranchise
Indicates the specific category or kind of franchise that an entity belongs to within a broader franchising system.
-
E.
hasInstallment
Indicates that one entity is paid for or fulfilled through multiple scheduled installment payments by another entity.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 12:43 a.m.