Triple
T22223779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norma Deloris Egstrom |
E549279
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Nicki Lee Foster |
—
|
NE NERFINISHED |
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: Nicki Lee Foster | Statement: [Norma Deloris Egstrom, child, Nicki Lee Foster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicki Lee Foster Context triple: [Norma Deloris Egstrom, child, Nicki Lee Foster]
-
A.
Nicki Lee Foster
chosen
Nicki Lee Foster is the daughter of legendary American singer and actress Peggy Lee.
-
B.
Minnie Driver
Minnie Driver is a British-American actress and singer best known for her acclaimed, Oscar-nominated performance in the film "Good Will Hunting."
-
C.
Diana Kerry
Diana Kerry is a member of the prominent American political Kerry family, known for its long-standing involvement in public service and diplomacy.
-
D.
Mary Sean Young
Mary Sean Young is an American actress best known for her roles in films such as "Blade Runner," "Dune," and "No Way Out."
-
E.
Judy Foster
Judy Foster is the lively, boy-crazy teenage heroine of the radio, film, and comic series "A Date with Judy," known for her humorous misadventures in romance and family life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b92b79c8190a8a4d33591abd763 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.