Triple
T34586417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Purchase African M.E. Church |
E888054
|
entity |
| Predicate | teachesJem |
P21344
|
FINISHED |
| Object | greater understanding of Black life in Maycomb |
—
|
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: greater understanding of Black life in Maycomb | Statement: [First Purchase African M.E. Church, teachesJem, greater understanding of Black life in Maycomb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachesJem Context triple: [First Purchase African M.E. Church, teachesJem, greater understanding of Black life in Maycomb]
-
A.
teachesPo
Indicates that one entity provides instruction or education to another entity.
-
B.
teachesAbout
chosen
Indicates that one entity provides instruction or information to another entity on a particular subject or topic.
-
C.
taughtThat
Indicates that one entity provided instruction or education to another entity about a specific subject, skill, or concept.
-
D.
isTaughtTo
Indicates that some knowledge, skill, or subject is being instructed or conveyed by a teacher or source to a learner or recipient.
-
E.
teachesChildren
Indicates that one entity provides instruction or education specifically to child entities.
- 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_69f349d25cbc8190869998de5915886b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f727bde8f88190ad746ca515134ca1 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72739c30c81908642eef3feb3afcf |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 2:03 a.m.