Triple
T15623918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayla Silverfox |
E375631
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Emma Silverfox |
E1167693
|
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: Emma Silverfox | Statement: [Kayla Silverfox, sibling, Emma Silverfox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Silverfox Context triple: [Kayla Silverfox, sibling, Emma Silverfox]
-
A.
Emma Silverfox
chosen
Emma Silverfox is a person known primarily for being a relative of Kayla Silverfox.
-
B.
Kayla Silverfox
Kayla Silverfox is a mutant with empathic and mind-influencing abilities who serves as Wolverine’s love interest and a key figure in his past in the film X-Men Origins: Wolverine.
-
C.
Sarah Silver
Sarah Silver is known as the ex-wife of American dancer and chef Dean Sheremet.
-
D.
Sylver Gregory
Sylver Gregory is an actor known for appearing in the British television series "The Royal Family."
-
E.
Heather Goldenhersh
Heather Goldenhersh is an American actress best known for her work on stage and screen, including her acclaimed performance in the film and play "Doubt."
- 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.