Triple
T32715227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peashooter |
E836503
|
entity |
| Predicate | firstAllMetalMonoplaneFighterFor |
P25390
|
FINISHED |
| Object | U.S. Army Air Corps |
E36581
|
NE 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: U.S. Army Air Corps | Statement: [Peashooter, firstAllMetalMonoplaneFighterFor, U.S. Army Air Corps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAllMetalMonoplaneFighterFor Context triple: [Peashooter, firstAllMetalMonoplaneFighterFor, U.S. Army Air Corps]
-
A.
firstModernAllMetalFighterOf
chosen
Indicates that the subject is recognized as the first modern all-metal fighter aircraft associated with the object (such as a country, manufacturer, or air force).
-
B.
firstSuccessfulFlightDesignation
Indicates the specific designation or identifier assigned to an aircraft or spacecraft for its first successful flight.
-
C.
poweredFirstOperationalRAFJet
Indicates that the subject provided the propulsion for the first jet aircraft to enter operational service with the Royal Air Force.
-
D.
firstFlightWithEngine
Indicates that the subject entity represents the first flight event in which the specified engine was used or operated.
-
E.
firstAircraftName
Indicates the name assigned to the first aircraft associated with a given entity or context.
- F. None of above.
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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34c664fa4481908004c8f5200d56ce |
completed | June 19, 2026, 4:32 a.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:11 a.m.