Triple
T15623901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayla Silverfox |
E375631
|
entity |
| Predicate | adaptationOf |
P1926
|
FINISHED |
| Object | Silver Fox (Marvel Comics) |
E508707
|
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: Silver Fox (Marvel Comics) | Statement: [Kayla Silverfox, adaptationOf, Silver Fox (Marvel Comics)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silver Fox (Marvel Comics) Context triple: [Kayla Silverfox, adaptationOf, Silver Fox (Marvel Comics)]
-
A.
Silver Fox
Silver Fox is a golf course known for its challenging layout and scenic surroundings.
-
B.
Silver Fox
chosen
Silver Fox is a Marvel Comics character, a skilled mutant and former lover of Wolverine who is often depicted as a tragic figure entangled in Weapon X–related conspiracies.
-
C.
Willy the Wolverine
Willy the Wolverine is the costumed wolverine mascot representing Utah Valley University at its athletic events and campus activities.
-
D.
Wolverine Wildcat
Wolverine Wildcat is a classic wooden roller coaster located at the Michigan’s Adventure amusement park in Muskegon, Michigan.
-
E.
Prowler
Prowler is a wooden roller coaster at the Worlds of Fun amusement park in Kansas City, Missouri, known for its fast, terrain-hugging layout through wooded areas.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9cfd94819091459aa17a002eaf |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f3f65dc8190ac94db1d4d53d77f |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:14 a.m.