Triple
T12951107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erma Ora James |
E309893
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Erma |
E657244
|
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: Erma | Statement: [Erma Ora James, givenName, Erma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erma Context triple: [Erma Ora James, givenName, Erma]
-
A.
Erma
chosen
Erma is an unincorporated community and census-designated place located within Lower Township in Cape May County, New Jersey.
-
B.
Maurine
Maurine is a feminine given name of French origin, derived from "Maur" and often considered a variant of Maureen or a diminutive of Maurice.
-
C.
Emogene
Emogene is a feminine given name of English origin, often considered a variant of Imogene.
-
D.
Gladys
Gladys is a feminine given name of English origin that was especially popular in the late 19th and early 20th centuries.
-
E.
Benita
Benita is a feminine given name of Latin origin, often associated with the meaning "blessed."
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1dc4c88190ab27b832d6a7c556 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af7790808190826f98e8aff01523 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 9, 2026, 5:43 p.m.