Triple
T4157391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panopticon; or, The Inspection-House |
E91448
|
entity |
| Predicate | proposesRelationshipBetween |
P8534
|
FINISHED |
| Object | observer and observed |
—
|
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: observer and observed | Statement: [Panopticon; or, The Inspection-House, proposesRelationshipBetween, observer and observed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposesRelationshipBetween Context triple: [Panopticon; or, The Inspection-House, proposesRelationshipBetween, observer and observed]
-
A.
definesRelationshipBetween
chosen
Indicates that one entity specifies or establishes the nature, type, or rules of a relationship that exists between two or more other entities.
-
B.
relationshipPlannedWith
Indicates that a relationship between two entities has been intentionally arranged or scheduled to occur in the future.
-
C.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
D.
closeRelationship
Indicates a strong, intimate, or emotionally significant bond between two entities, suggesting familiarity, trust, and frequent or meaningful interaction.
-
E.
reportsRelationship
Indicates that one entity formally provides information, findings, or status about another entity or situation.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0321eee88190871c1d4bf44a5007 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018dc90c8190a754b1bfbc802e80 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.