Triple
T8449942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Horror Story: Roanoke |
E199774
|
entity |
| Predicate | numberOfMainCastMembers |
P45649
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [American Horror Story: Roanoke, numberOfMainCastMembers, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMainCastMembers Context triple: [American Horror Story: Roanoke, numberOfMainCastMembers, 10]
-
A.
numberOfDirectors
Indicates the total count of directors associated with a given entity.
-
B.
originalCast
Indicates that the subject is a member of the initial group of performers or participants who first originated a role or production.
-
C.
numberOfMainPerformers
chosen
Indicates the count of primary performers involved in a performance or event.
-
D.
mainCastMemberRole
Indicates that an entity’s role specifies the character or position they portray as a principal member of a production’s main cast.
-
E.
numberOfHumanProtagonists
Indicates the count of human characters that serve as protagonists in a given work or context.
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44707b88190b3d8b30c45ef4496 |
completed | March 31, 2026, 3:12 p.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:09 p.m.