Triple
T22212471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Writers Series |
E548986
|
entity |
| Predicate | roleOfChinuaAchebe |
P15535
|
FINISHED |
| Object | founding editor |
—
|
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: founding editor | Statement: [African Writers Series, roleOfChinuaAchebe, founding editor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfChinuaAchebe Context triple: [African Writers Series, roleOfChinuaAchebe, founding editor]
-
A.
literaryAuthor
Indicates that one entity is the author or writer of a literary work represented by the other entity.
-
B.
literaryRole
chosen
Indicates the specific narrative or functional role an entity holds within a literary work or text.
-
C.
notableAuthorRole
Indicates that an entity holds a significant or distinguished role as an author in relation to another entity.
-
D.
writtenByNobelLaureate
Indicates that the work or document was authored by a person who has received a Nobel Prize.
-
E.
roleInSamuelBeckettLife
Indicates the specific role or involvement an entity had in Samuel Beckett’s life.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2c8b608190b0047af4ac91b023 |
completed | April 28, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:36 p.m.