Triple
T22802641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Myrtle Swoyer |
E564438
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Myrtle |
—
|
NE NERFINISHED |
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: Myrtle | Statement: [Anna Myrtle Swoyer, middleName, Myrtle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myrtle Context triple: [Anna Myrtle Swoyer, middleName, Myrtle]
-
A.
Myrtle
Myrtle is a fictional character appearing in P. G. Wodehouse’s comic novel "Service with a Smile."
-
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, better known as Moaning Myrtle, is a ghost who haunts a girls' bathroom at Hogwarts School of Witchcraft and Wizardry in the Harry Potter series.
-
D.
Myrtle
chosen
Myrtle is a feminine given name of English origin, derived from the myrtle plant and used since the 19th century.
-
E.
Myrt
Myrt is the Allied reporting name for the Nakajima C6N, a fast, long-range Japanese carrier-based reconnaissance aircraft used during World War II.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdf1e308190a05d0f61856be544 |
completed | April 29, 2026, 3:37 a.m. |
Created at: April 17, 2026, 3:31 p.m.