Triple
T21107004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 57 Squadron RAF |
E520072
|
entity |
| Predicate | aircraftOperated |
P1523
|
FINISHED |
| Object | Grob Tutor (training role) |
E605865
|
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: Grob Tutor (training role) | Statement: [No. 57 Squadron RAF, aircraftOperated, Grob Tutor (training role)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grob Tutor (training role) Context triple: [No. 57 Squadron RAF, aircraftOperated, Grob Tutor (training role)]
-
A.
Grob Tutor
chosen
The Grob Tutor is a German-built, single-engine light training aircraft widely used by air forces and flying schools for basic pilot instruction.
-
B.
Trainor
Trainor is the surname of American pop singer-songwriter Meghan Trainor, known for hits like "All About That Bass."
-
C.
My Tutor
My Tutor is a 1983 American teen sex comedy film starring Caren Kaye as a French tutor who becomes romantically involved with her high-school student.
-
D.
Trainer
Trainer is a TensorFlow Extended component responsible for training machine learning models within end-to-end ML pipelines.
-
E.
The Tutor
The Tutor is a satirical play by Bertolt Brecht that critiques bourgeois education and social hypocrisy through the misadventures of an opportunistic schoolteacher.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e720fe800c81909edf215c5f1f27c2 |
completed | April 21, 2026, 7:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a095a670d188190988befc0103ca4ec |
completed | May 17, 2026, 6:04 a.m. |
Created at: April 16, 2026, 2:53 p.m.