Triple
T28520518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Adley |
E721749
|
entity |
| Predicate | frameStructureFunction |
P122707
|
FINISHED |
| Object | introduces the club and its members |
—
|
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: introduces the club and its members | Statement: [David Adley, frameStructureFunction, introduces the club and its members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frameStructureFunction Context triple: [David Adley, frameStructureFunction, introduces the club and its members]
-
A.
structureFunction
Indicates that one entity’s physical or organizational structure serves a particular function or role in relation to another entity.
-
B.
frameFunction
chosen
Indicates that one entity serves as a functional or structural frame that supports, constrains, or organizes another entity or process.
-
C.
functionInStructure
Indicates that one entity serves as a functional component or plays a specific operational role within the organization or structure of another entity.
-
D.
encodingStructure
Indicates the structural scheme or format used to encode information or data.
-
E.
frameType
Indicates the specific structural or categorical kind of frame associated with an entity or relation.
- 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 3:20 a.m.