Triple
T21397381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Horror Story: Hotel |
E527819
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | The Countess |
—
|
NE NERFINISHED |
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: The Countess | Statement: [American Horror Story: Hotel, mainCharacter, The Countess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Countess Context triple: [American Horror Story: Hotel, mainCharacter, The Countess]
-
A.
The Countess
chosen
The Countess is a glamorous, immortal vampire-like socialite and the central, ruthlessly seductive antagonist of American Horror Story: Hotel, portrayed by Lady Gaga.
-
B.
Madame la Comtesse
Madame la Comtesse is a fictional aristocratic lady character, typically portrayed as the refined, feminine counterpart to Monsieur le Comte in French literature or drama.
-
C.
The Count
The Count is a friendly, number-obsessed vampire Muppet from Sesame Street who teaches children basic counting skills.
-
D.
The Count
The Count is a charismatic, rebellious American DJ in the film "The Boat That Rocked," known for his larger-than-life personality and rivalry with fellow broadcaster Gavin.
-
E.
The Count
The Count is a creative work associated with Leo White, likely a film or theatrical production showcasing his involvement in early cinema or performance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b16a9c7c819083bd2d298106fdf1 |
completed | April 22, 2026, 11:30 a.m. |
Created at: April 16, 2026, 5:13 p.m.