Triple
T33405190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Substitute Teacher Mr. Garvey |
E855418
|
entity |
| Predicate | mispronouncesName |
P176867
|
FINISHED |
| Object | Aaron as "A-A-Ron" |
—
|
LITERAL 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: Aaron as "A-A-Ron" | Statement: [Substitute Teacher Mr. Garvey, mispronouncesName, Aaron as "A-A-Ron"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mispronouncesName Context triple: [Substitute Teacher Mr. Garvey, mispronouncesName, Aaron as "A-A-Ron"]
-
A.
nicknameSpellingNote
Indicates that there is a note or clarification about how a nickname is spelled in relation to a given name or entity.
-
B.
nameContrastsWith
Indicates that one name is deliberately chosen or used to highlight a difference or opposition in meaning, style, or identity relative to another name.
-
C.
nameIsMisnomerFor
Indicates that the given name inaccurately or misleadingly describes the entity it refers to.
-
D.
avoidsPronunciationOf
Indicates that one entity deliberately refrains from saying or articulating the name, word, or expression associated with another entity.
-
E.
nameClarification
Indicates that an additional explanation or specification is provided to clarify an entity’s name or how it should be understood.
- F. None of above. chosen
Provenance (4 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6f37f36ac8190b1bff8711d6771cb |
completed | May 3, 2026, 7:04 a.m. |
Created at: May 1, 2026, 1:36 a.m.