Triple
T10595331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Horror Story: Freak Show |
E250096
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Dot Tattler |
E808689
|
NE 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: Dot Tattler | Statement: [American Horror Story: Freak Show, featuresCharacter, Dot Tattler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dot Tattler Context triple: [American Horror Story: Freak Show, featuresCharacter, Dot Tattler]
-
A.
Dot Tattler
chosen
Dot Tattler is one of the conjoined twin sisters in the "Freak Show" season of the television series American Horror Story, portrayed by Sarah Paulson.
-
B.
Dotdot
Dotdot is an application-layer IoT standard that provides a universal, IP-based language for smart devices to communicate and interoperate across different networks and ecosystems.
-
C.
K.Dot
K.Dot is the early stage name used by acclaimed American rapper and songwriter Kendrick Lamar.
-
D.
Dot
Dot is a character or entity connected to Francis, likely appearing in the same narrative, project, or creative work.
-
E.
Dot
Dot is a young, adventurous ant princess from Pixar's animated film "A Bug's Life."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5278cbf9081909ef419b0144d5019 |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e8de2e88190835954abb2ac2ece |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 6, 2026, 12:41 p.m.