Triple
T21282046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances Gumm |
E524549
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Lorna Luft |
—
|
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: Lorna Luft | Statement: [Frances Gumm, child, Lorna Luft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorna Luft Context triple: [Frances Gumm, child, Lorna Luft]
-
A.
Lorna Luft
chosen
Lorna Luft is an American singer, actress, and author, best known for her work on stage and screen and for being part of the legendary Garland entertainment family.
-
B.
Lorna Adams
Lorna Adams is best known as the wife of legendary American comedian and television pioneer Milton Berle.
-
C.
Lorna Patterson
Lorna Patterson is an American actress best known for her comedic role as the singing stewardess in the classic parody film "Airplane!"
-
D.
Lorna Edmonds
Lorna Edmonds is the daughter of Helen Soby and British television and radio presenter Noel Edmonds.
-
E.
Lorna Paul
Lorna Paul is a film and television producer best known for her work on the project "Treachery."
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d249fc8190b0b310467ddeac3c |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:02 p.m.