Triple
T8874067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidney Luft |
E211224
|
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: [Sidney Luft, familyName, Luft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luft Context triple: [Sidney 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.
Luftburen
Luftburen is a notable literary work by Swedish author Per Wästberg, reflecting his characteristic blend of social insight and nuanced psychological portrayal.
-
C.
Bright Flight
Bright Flight is a 2001 indie rock album by Silver Jews, noted for David Berman’s stark, country-tinged songwriting and melancholic, literate lyrics.
-
D.
Thin Air
"Thin Air" is a track by the electronic music duo Binaural, known for its atmospheric, immersive sound design.
-
E.
Air Nostrum
Air Nostrum is a Spanish regional airline that operates flights under the Iberia Regional brand, connecting smaller cities with Iberia’s main network.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc614451d081908804430a72d00edf |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0f9714c8190909587eecbb10e1a |
completed | April 3, 2026, 11:14 a.m. |
Created at: March 30, 2026, 6:52 p.m.