Triple
T856845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Lee |
E18510
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Count Dracula |
E48891
|
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: Count Dracula | Statement: [Christopher Lee, portrayed, Count Dracula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Count Dracula Context triple: [Christopher Lee, portrayed, Count Dracula]
-
A.
Kazimierz Sabbat
Kazimierz Sabbat was a Polish politician who served as Prime Minister and later President of the Polish government-in-exile, symbolically upholding Poland’s pre-communist statehood during the Cold War.
-
B.
Dracula
chosen
Dracula is Bram Stoker’s 1897 Gothic horror novel that introduced the iconic vampire Count Dracula and helped define modern vampire fiction.
-
C.
Barnabas
Barnabas is an early Christian disciple and missionary, closely associated with Paul, known for his role in spreading Christianity and supporting the early church.
-
D.
Wolfman Jack
Wolfman Jack was a famous American disc jockey known for his gravelly voice, energetic on-air persona, and influential presence in rock and roll radio.
-
E.
Victor
Victor is a masculine given name of Latin origin meaning "conqueror" or "winner," commonly used in many European and English-speaking countries.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac4d47508190b48d944aa2d881bf |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3bfcf308190b1ffc63ccd32cc66 |
completed | March 4, 2026, 3:15 a.m. |
Created at: March 1, 2026, 7:39 p.m.