Triple
T35835518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Bess |
E1035922
|
entity |
| Predicate | activeYearsInAviation |
P18004
|
FINISHED |
| Object | 1921-1926 |
—
|
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: 1921-1926 | Statement: [Queen Bess, activeYearsInAviation, 1921-1926]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeYearsInAviation Context triple: [Queen Bess, activeYearsInAviation, 1921-1926]
-
A.
licensedPilotSince
Indicates that one entity has held a valid pilot’s license continuously since the date or time specified by the other entity.
-
B.
activeYearsWith
Indicates the span of time during which an entity was actively engaged in a particular role, activity, or association with another entity.
-
C.
hasRoleInAviation
Indicates that an entity holds or has held a specific role, position, or function within the field of aviation.
-
D.
yearOfAviationAttempt
Indicates the specific year in which an aviation attempt (such as a flight or test) took place.
-
E.
activeYearsInCareer
chosen
Indicates the span of time during which an entity was actively engaged in a particular career or professional field.
- F. None of above.
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_69f76e192a94819082db360cb91e6a8d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:06 p.m.