Triple
T2422444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheridan Le Fanu |
E53447
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Bram Stoker |
E50289
|
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: Bram Stoker | Statement: [Sheridan Le Fanu, influenced, Bram Stoker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bram Stoker Context triple: [Sheridan Le Fanu, influenced, Bram Stoker]
-
A.
Bram Stoker
chosen
Bram Stoker was an Irish author best known for his 1897 novel "Dracula," a foundational work of Gothic horror fiction.
-
B.
Irving Noel Thornley Stoker
Irving Noel Thornley Stoker was the son of Irish author Bram Stoker, best known for writing the classic Gothic novel "Dracula."
-
C.
Sheridan Le Fanu
Sheridan Le Fanu was a 19th-century Irish writer best known for his influential Gothic and ghost stories, including the vampire novella "Carmilla."
-
D.
Gaston Leroux
Gaston Leroux was a French journalist and novelist best known as the author of the classic mystery novel "The Phantom of the Opera."
-
E.
M. R. James
M. R. James was an English medievalist scholar and author renowned for his influential ghost stories that helped define the modern supernatural horror genre.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc971093481909c8924d58187860c |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f7f0738819091d06a7279f45d61 |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:42 p.m.