Triple
T3394211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svetlana Iosifovna Stalina |
E71489
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Lana Peters |
E145637
|
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: Lana Peters | Statement: [Svetlana Iosifovna Stalina, alsoKnownAs, Lana Peters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lana Peters Context triple: [Svetlana Iosifovna Stalina, alsoKnownAs, Lana Peters]
-
A.
Lana Peters
chosen
Lana Peters was the American name of Svetlana Alliluyeva, the daughter of Soviet leader Joseph Stalin who later defected to the West and became a writer.
-
B.
Lana Morris
Lana Morris was a British film and television actress known for her work in mid-20th-century comedies and dramas.
-
C.
Diandra Luker
Diandra Luker is a film producer and the former wife of American actor Michael Douglas.
-
D.
Katherine LaNasa
Katherine LaNasa is an American actress, former ballet dancer, and choreographer known for her work in film and television, including roles in series like "Three Sisters" and "Deception."
-
E.
Jennifer Lash
Jennifer Lash was a British novelist and painter known for her literary works and as the matriarch of the Fiennes acting family.
- 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_69ad85a9c4a88190a854019341cb3b60 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb853746c8190bfa1447e6ebbefb3 |
completed | March 8, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e4b6ef4c81908a6861cba2a73652 |
completed | March 14, 2026, 10:44 p.m. |
Created at: March 8, 2026, 3:14 p.m.