Triple
T17702569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GoJet Airlines |
E441344
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | LINDBERGH |
—
|
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: LINDBERGH | Statement: [GoJet Airlines, callsign, LINDBERGH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LINDBERGH Context triple: [GoJet Airlines, callsign, LINDBERGH]
-
A.
Lindbergh
chosen
Lindbergh is a prominent American surname most famously associated with aviator Charles Lindbergh and author Anne Morrow Lindbergh.
-
B.
Land Morrow Lindbergh
Land Morrow Lindbergh is one of the sons of famed American aviator Charles Lindbergh and his wife, Anne Morrow Lindbergh.
-
C.
Charles Lindbergh
Charles Lindbergh was an American aviator famed for making the first solo nonstop flight across the Atlantic Ocean in 1927.
-
D.
Jon Morrow Lindbergh
Jon Morrow Lindbergh was an American aquanaut and environmentalist, best known as the son of aviator Charles Lindbergh and for his pioneering work in underwater exploration and ocean engineering.
-
E.
Scott Lindbergh
Scott Lindbergh is one of the children of famed American aviator Charles Lindbergh.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4715c3980819094b080a871df1100 |
completed | April 19, 2026, 6:08 a.m. |
Created at: April 10, 2026, 10:05 a.m.