Triple
T13270981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wiley Post’s Winnie Mae |
E316053
|
entity |
| Predicate | secondAroundTheWorldFlightYear |
P109255
|
FINISHED |
| Object | 1933 |
—
|
LITERAL 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: 1933 | Statement: [Wiley Post’s Winnie Mae, secondAroundTheWorldFlightYear, 1933]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondAroundTheWorldFlightYear Context triple: [Wiley Post’s Winnie Mae, secondAroundTheWorldFlightYear, 1933]
-
A.
yearOfFlight
Indicates the specific calendar year in which a particular flight took place or is scheduled to occur.
-
B.
firstFlightAroundWorldStartDate
Indicates the date on which the first flight around the world began.
-
C.
firstFlightAroundWorldDuration
Indicates the length of time taken to complete the first flight around the world.
-
D.
firstCrewedTestFlightYear
Indicates the calendar year in which an entity conducted its first test flight involving a human crew.
-
E.
firstFlight
Indicates that the associated event or record corresponds to the earliest or initial flight taken or performed by the referenced entity.
- F. None of above. chosen
Provenance (4 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:26 p.m.