Triple
T15623916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayla Silverfox |
E375631
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | Silverfox |
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: Silverfox | Statement: [Kayla Silverfox, hasAlias, Silverfox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silverfox Context triple: [Kayla Silverfox, hasAlias, Silverfox]
-
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.
Wolf Grey
Wolf Grey is a distinctive shade of gray used as one of the official team colors of the NFL's Seattle Seahawks.
-
D.
Sable
Sable is a former professional wrestling valet, model, and WWE Diva best known for her prominent role in the WWF/WWE during the late 1990s.
-
E.
Sable
Sable is a shy, hard-working hedgehog in the Animal Crossing series who runs the Able Sisters tailor shop and gradually opens up to the player through daily conversations.
- 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_69ff678a9fac81908030726054ff5a99 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:14 a.m.