Triple
T31446098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mama Odie |
E802189
|
entity |
| Predicate | teachesCharacter |
P60701
|
FINISHED |
| Object | Tiana |
—
|
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: Tiana | Statement: [Mama Odie, teachesCharacter, Tiana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachesCharacter Context triple: [Mama Odie, teachesCharacter, Tiana]
-
A.
teachesCharactersFrom
Indicates that one entity instructs or educates another entity using characters (such as letters, symbols, or written forms) as the teaching content.
-
B.
didacticCharacter
chosen
Indicates that one entity serves a teaching or instructional role toward another, conveying guidance, lessons, or moral instruction.
-
C.
teachesPo
Indicates that one entity provides instruction or education to another entity.
-
D.
teachesAbout
Indicates that one entity provides instruction or information to another entity on a particular subject or topic.
-
E.
character3
Indicates a tertiary or additional character role associated with an entity, typically the third distinct character linked within a given context or work.
- F. None of above.
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_69f348c5a6bc819092a557e95438976f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:09 p.m.