Triple
T26564457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Jannus |
E666337
|
entity |
| Predicate | dateOfFirstScheduledCommercialFlight |
P50275
|
FINISHED |
| Object | 1914-01-01 |
—
|
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: 1914-01-01 | Statement: [Tony Jannus, dateOfFirstScheduledCommercialFlight, 1914-01-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfFirstScheduledCommercialFlight Context triple: [Tony Jannus, dateOfFirstScheduledCommercialFlight, 1914-01-01]
-
A.
firstCommercialFlightDate
chosen
Indicates the calendar date on which an entity’s first commercial flight or revenue-earning air service took place.
-
B.
firstCommercialFlight
Indicates that the subject entity operated or was involved in the earliest commercial flight associated with the object entity (such as a route, aircraft type, or service).
-
C.
firstFlightLandingDate
Indicates the calendar date on which an aircraft or flight successfully completed its first landing.
-
D.
allegedFirstFlightDate
Indicates the date on which an entity is claimed or reported (but not necessarily confirmed) to have made its first flight.
-
E.
firstCrewedFlightDate
Indicates the calendar date on which an entity undertook its first flight carrying human crew.
- 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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 27, 2026, 1:54 a.m.