Triple
T21862621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B.O. Plenty |
E539801
|
entity |
| Predicate | workOfFictionStartMedium |
P73019
|
FINISHED |
| Object | newspaper syndication |
—
|
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: newspaper syndication | Statement: [B.O. Plenty, workOfFictionStartMedium, newspaper syndication]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workOfFictionStartMedium Context triple: [B.O. Plenty, workOfFictionStartMedium, newspaper syndication]
-
A.
fictionalMedium
Indicates that a work of fiction is presented or conveyed through a particular medium or format (such as a book, film, game, or comic).
-
B.
workInFiction
Indicates that one entity is a fictional work in which the other entity appears or is set.
-
C.
hasFictionComponent
Indicates that something includes, contains, or is composed in part of a fictional element or work.
-
D.
storyMedium
chosen
Indicates the medium or format through which a story is conveyed (e.g., book, film, audio).
-
E.
novel
Indicates that an entity is new, original, or not previously known or used in the given context.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d63beb00819092b8ec3a8ef55a39 |
completed | April 28, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69e6be9394f88190945ddd1dc004d29d |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:56 p.m.