Triple
T15973406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adventure City |
E387378
|
entity |
| Predicate | hasAssociatedCharacter |
P88683
|
FINISHED |
| Object | Ryder |
E387365
|
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: Ryder | Statement: [Adventure City, hasAssociatedCharacter, Ryder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryder Context triple: [Adventure City, hasAssociatedCharacter, Ryder]
-
A.
Ryder
Ryder is a modernist novel by Djuna Barnes, known for its experimental style and exploration of unconventional family and sexual relationships.
-
B.
Ryder
chosen
Ryder is the young, tech-savvy leader of the PAW Patrol team who guides a group of rescue pups on missions to protect their community.
-
C.
Ryder
Ryder is a surname most notably associated with Canadian singer-songwriter Serena Ryder.
-
D.
Ryder
Ryder is an American painter associated with moody, atmospheric landscapes and seascapes that helped shape the Tonalist movement in the late 19th and early 20th centuries.
-
E.
Roden
Roden is a Czech surname most notably borne by actor Karel Roden, known for his work in both Czech and international films.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572a8fd8819092ae1766324b1345 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f7f439c8190b4bcd84e35aa291e |
completed | May 10, 2026, 6:02 a.m. |
Created at: April 10, 2026, 4:54 a.m.