Triple
T8305053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alice Krige |
E194443
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Alice Krige |
E194443
|
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: Alice Krige | Statement: [Alice Krige, name, Alice Krige]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alice Krige Context triple: [Alice Krige, name, Alice Krige]
-
A.
Alice Krige
chosen
Alice Krige is a South African actress best known for her roles in films such as "Chariots of Fire" and as the Borg Queen in the "Star Trek" franchise.
-
B.
Aimee Boorman
Aimee Boorman is an American gymnastics coach best known for guiding Simone Biles through her rise to becoming one of the most decorated gymnasts in history.
-
C.
Carol Vaness
Carol Vaness is an American operatic soprano renowned for her powerful voice and dramatic portrayals in major Mozart and Verdi roles on leading international stages.
-
D.
Judy Carne
Judy Carne was a British-born comedic actress best known for her recurring role and catchphrase “Sock it to me!” on the American television sketch comedy show Rowan & Martin's Laugh-In.
-
E.
Jill Paice
Jill Paice is an American stage actress and singer best known for originating leading roles in multiple Broadway and West End musicals.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7e8db3a8819083772db5c7a2454b |
completed | March 31, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd9545ffc48190869906b02692b873 |
completed | April 1, 2026, 9:59 p.m. |
Created at: March 30, 2026, 5:54 p.m.