Triple
T2788461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorna Luft |
E61868
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Luft |
E115957
|
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: Luft | Statement: [Lorna Luft, familyName, Luft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luft Context triple: [Lorna Luft, familyName, Luft]
-
A.
Luft
chosen
Luft is a surname most notably associated with Sid Luft, the American film producer and third husband of entertainer Judy Garland.
-
B.
Luchtcomponent
Luchtcomponent is the Dutch name for the air component of the Belgian Armed Forces, responsible for Belgium’s military aviation operations.
-
C.
Treading Air
Treading Air is a novel by Estonian writer Jaan Kross that explores personal and national identity under shifting political regimes in 20th-century Estonia.
-
D.
Taking to the Air
"Taking to the Air" is an episode of the BBC nature documentary series "Life in the Undergrowth" that explores how invertebrates evolved and adapted to life in the air.
-
E.
Perlan
Perlan is a prominent glass-domed landmark in Reykjavík that houses exhibitions, a planetarium, and panoramic viewing decks showcasing Icelandic nature and the city skyline.
- 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_69afc6555ee08190b1ddd5446818f74e |
completed | March 10, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:58 p.m.