Triple
T16847808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bing Russell |
E409588
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Jill Russell |
E424511
|
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: Jill Russell | Statement: [Bing Russell, child, Jill Russell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jill Russell Context triple: [Bing Russell, child, Jill Russell]
-
A.
Jill Russell
chosen
Jill Russell is a member of the Russell family best known as the sister of American actor Kurt Russell.
-
B.
Robin Russell
Robin Russell is an editor known for her work on the film "Life-Size."
-
C.
Lucinda Jenney
Lucinda Jenney is an American character actress known for her versatile supporting roles in films and television since the 1980s.
-
D.
Jennifer Kirk
Jennifer Kirk is an American former competitive figure skater who won the 2000 Four Continents Championships and later became known for her commentary and advocacy on issues within the sport.
-
E.
Joely Richardson
Joely Richardson is an English actress known for her work in film and television, including roles in projects such as "Nip/Tuck" and various period dramas.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b376bac48190ae09f29a28c55f8c |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017932fd5481909bf3c63409fd6da6 |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:24 a.m.