Triple
T19401065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firebrand Books |
E485325
|
entity |
| Predicate | publishingProgram |
P75827
|
FINISHED |
| Object | fiction |
—
|
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: fiction | Statement: [Firebrand Books, publishingProgram, fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publishingProgram Context triple: [Firebrand Books, publishingProgram, fiction]
-
A.
hasPublishingProgram
chosen
Indicates that an entity operates or maintains a formal program or initiative for publishing content, works, or materials.
-
B.
publishingPlatform
Indicates that one entity serves as the medium or service through which another entity is published or made publicly available.
-
C.
publishingSector
Indicates a relationship where an entity operates in, is associated with, or belongs to the publishing industry or market segment.
-
D.
publishingForm
Indicates the medium or format in which something is published or made publicly available.
-
E.
publishingModel
Indicates the method or framework by which content is produced, distributed, and made publicly available.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62577454c81909d5bcd07e99b27e4 |
completed | April 20, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:36 p.m.