Triple
T1866557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Autocrat |
E34933
|
entity |
| Predicate | hasAudienceWithinWork |
P793
|
FINISHED |
| Object | fellow boarders at the breakfast table |
—
|
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: fellow boarders at the breakfast table | Statement: [The Autocrat, hasAudienceWithinWork, fellow boarders at the breakfast table]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAudienceWithinWork Context triple: [The Autocrat, hasAudienceWithinWork, fellow boarders at the breakfast table]
-
A.
hasAudience
chosen
Indicates that an entity is intended to be received, viewed, or engaged with by a particular group of people.
-
B.
hasAudienceReception
Indicates the relationship between a work or event and how it is received, perceived, or evaluated by its audience.
-
C.
hasAudienceSize
Indicates the relationship between an entity and the number of people or size of group that receives, views, or engages with it.
-
D.
hasWorkInCollection
Indicates that a work or item is included as part of a particular collection.
-
E.
eligibleWorks
Indicates that certain works meet the required criteria or conditions to qualify for a specified status, use, or consideration.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb16c09e48190a345c95eab59fd87 |
completed | March 7, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69abafe02c3c819093a4744b476106ca |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.