Triple
T10935814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IAI Dagger |
E258328
|
entity |
| Predicate | exportVariantOf |
P69023
|
FINISHED |
| Object | Mirage 5 |
E337625
|
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: Mirage 5 | Statement: [IAI Dagger, exportVariantOf, Mirage 5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirage 5 Context triple: [IAI Dagger, exportVariantOf, Mirage 5]
-
A.
Mirage 5
chosen
The Mirage 5 is a French single-seat, supersonic attack aircraft developed in the 1960s as a simplified, ground-attack-focused variant of the Mirage III.
-
B.
Mirage IIID
The Mirage IIID is a two-seat trainer variant of the French Dassault Mirage III supersonic fighter aircraft, used primarily for advanced pilot instruction and conversion training.
-
C.
Mirage
Mirage is a site-specific, mirror-clad architectural installation by artist Doug Aitken that reflects and distorts its surrounding landscape.
-
D.
Mirage
Mirage is a Spanish mystery-thriller film that blends time travel and psychological drama as it follows a woman whose attempt to prevent a past crime unexpectedly alters her present reality.
-
E.
Mirage
Mirage is a mysterious and resourceful government agent character from Pixar's animated film "The Incredibles."
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770afaa1c8190b8fced9c694c0938 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23bee9b208190aee8f938dff3f234 |
completed | April 17, 2026, 1:55 p.m. |
Created at: April 8, 2026, 9:23 p.m.