Triple
T17025951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Vampire |
E413062
|
entity |
| Predicate | hasFilmSeries |
P5564
|
FINISHED |
| Object | Mr. Vampire film series |
E413062
|
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: Mr. Vampire film series | Statement: [Mr. Vampire, hasFilmSeries, Mr. Vampire film series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Vampire film series Context triple: [Mr. Vampire, hasFilmSeries, Mr. Vampire film series]
-
A.
Mr. Vampire
chosen
Mr. Vampire is a classic 1985 Hong Kong horror-comedy film that popularized the hopping vampire (jiangshi) genre and became a landmark of Chinese supernatural cinema.
-
B.
Vampires
"Vampires" is a song featured on the album *Nightlife*, likely reflecting its dark, nocturnal themes.
-
C.
Vampire
Vampire is a suspended swinging roller coaster at Chessington World of Adventures in the UK, themed around a gothic vampire castle.
-
D.
Vampire
"Vampire" is a famous 1895 painting by Norwegian artist Edvard Munch, depicting a woman with flowing red hair bending over a man's neck in a dark, intimate embrace.
-
E.
Vampire
"Vampire" is a song featured on the album *So Help Me God!* by 2 Chainz.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d46a5081908bc5681621dd8534 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b53306081908972a0a5db474b6c |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.