Triple
T26564458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Jannus |
E666337
|
entity |
| Predicate | yearOfFirstScheduledCommercialFlight |
P174667
|
FINISHED |
| Object | 1914 |
—
|
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 | Statement: [Tony Jannus, yearOfFirstScheduledCommercialFlight, 1914]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfFirstScheduledCommercialFlight Context triple: [Tony Jannus, yearOfFirstScheduledCommercialFlight, 1914]
-
A.
firstCommercialFlightDate
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.
firstWinningFlightDate
Indicates the date on which the first successful or winning flight associated with the subject occurred.
-
D.
allegedFirstFlightDate
Indicates the date on which an entity is claimed or reported (but not necessarily confirmed) to have made its first flight.
-
E.
firstFlightLandingDate
Indicates the calendar date on which an aircraft or flight successfully completed its first landing.
- 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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6c5b7e46081909975b05f7298cc0e |
completed | May 3, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c49069e48190a3486b6254a6645b |
completed | May 3, 2026, 3:44 a.m. |
Created at: April 27, 2026, 1:54 a.m.