Triple
T9222868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakajima C6N |
E221605
|
entity |
| Predicate | NATOReportingName |
P6062
|
FINISHED |
| Object | Myrt |
E784944
|
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: Myrt | Statement: [Nakajima C6N, NATOReportingName, Myrt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myrt Context triple: [Nakajima C6N, NATOReportingName, Myrt]
-
A.
Myrt
chosen
Myrt is the Allied reporting name for the Nakajima C6N, a fast, long-range Japanese carrier-based reconnaissance aircraft used during World War II.
-
B.
Myrtle
Myrtle is a central romantic character in Richard Steele’s early 18th-century sentimental comedy "The Conscious Lovers," embodying the play’s themes of virtue, sensibility, and refined love.
-
C.
Myrtle
Myrtle is a fictional character appearing in P. G. Wodehouse’s comic novel "Service with a Smile."
-
D.
Myrtama
Myrtama is a little-known genus of flowering plants within the tamarisk family, Tamaricaceae.
-
E.
Myrties
Myrties is a coastal village on the Greek island of Kalymnos, known for its beach, views of the islet Telendos, and role as a base for climbers and tourists.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda7903208190b4e29a1591aab78a |
completed | April 1, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0779de5a88190b6a9266c976e05b1 |
completed | April 4, 2026, 2:29 a.m. |
Created at: March 30, 2026, 7:28 p.m.