Triple
T2788459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorna Luft |
E61868
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lorna Luft |
E61868
|
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: Lorna Luft | Statement: [Lorna Luft, name, Lorna Luft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorna Luft Context triple: [Lorna Luft, name, 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.
Lorraine Broughton
Lorraine Broughton is a highly skilled, stylish MI6 spy and lethal combatant who serves as the protagonist of the action thriller film "Atomic Blonde."
-
C.
Lorrie Marlow
Lorrie Marlow is known as the spouse of American actor and producer Robert Hooks.
-
D.
Lyn Irwin
Lyn Irwin was an Australian wildlife conservationist and matriarch of the Irwin family, known for her pivotal role in developing the family’s wildlife park that became internationally famous through her son Steve Irwin.
-
E.
Ann Doran
Ann Doran was an American character actress known for her prolific film and television career, often portraying maternal or authoritative supporting roles, including in the classic film "Rebel Without a Cause."
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddb3d63c8190b3ab5fa363c69db8 |
completed | March 7, 2026, 8:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b333feff988190831b50d87892b9c1 |
completed | March 12, 2026, 9:45 p.m. |
Created at: March 6, 2026, 9:58 p.m.