Triple
T17149311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jersey Devil Coaster |
E416176
|
entity |
| Predicate | themedAfter |
P5290
|
FINISHED |
| Object | Jersey Devil |
E990041
|
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: Jersey Devil | Statement: [Jersey Devil Coaster, themedAfter, Jersey Devil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jersey Devil Context triple: [Jersey Devil Coaster, themedAfter, Jersey Devil]
-
A.
Ghoul
Ghoul is a horror film featuring Nolan Gould in its cast.
-
B.
Kate Monster
Kate Monster is a central puppet character from the musical "Avenue Q," portrayed as an idealistic kindergarten teaching assistant who dreams of opening a school for monsters.
-
C.
Gretchen Krueger
Gretchen Krueger is a researcher and author known for her work on CLIP, a multimodal AI model that connects images and text.
-
D.
Black Shuck
chosen
Black Shuck is a legendary ghostly black dog from English folklore, often depicted as a large, ominous hound haunting the countryside of East Anglia.
-
E.
Orlok
Orlok is a genre-blending musical composition by Scottish composer Anna Meredith, known for its bold, experimental sound and inventive use of electronics and acoustic instruments.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f4059d90819092d3609326fa3130 |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01415b1d7c81908d000b0362042687 |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.