Triple
T20150295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Ronde |
E491416
|
entity |
| Predicate | hasRollerCoaster |
P23566
|
FINISHED |
| Object | Vampire |
—
|
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: Vampire | Statement: [La Ronde, hasRollerCoaster, Vampire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vampire Context triple: [La Ronde, hasRollerCoaster, Vampire]
-
A.
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.
-
B.
Vampire
"Vampire" is a song featured on the album *So Help Me God!* by 2 Chainz.
-
C.
Vampire
chosen
Vampire is a suspended swinging roller coaster at Chessington World of Adventures in the UK, themed around a gothic vampire castle.
-
D.
Vampiro
Vampiro is a Canadian professional wrestler and commentator known for his dark, gothic persona and influential roles in Mexican and American lucha libre promotions.
-
E.
Vampires
"Vampires" is a song featured on the album *Nightlife*, likely reflecting its dark, nocturnal themes.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667a1c5848190975b17ab07251f8b |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.