Triple
T14730774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur |
E346066
|
entity |
| Predicate | relationshipTypeWithGoosefatBill |
P115552
|
FINISHED |
| Object | comrade |
—
|
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: comrade | Statement: [Arthur, relationshipTypeWithGoosefatBill, comrade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithGoosefatBill Context triple: [Arthur, relationshipTypeWithGoosefatBill, comrade]
-
A.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
B.
financialRelationshipWith
Indicates a financial connection or association between entities, such as ownership, investment, funding, or other monetary ties.
-
C.
relationshipTypeWith W. O. Gant
Indicates the specific nature or category of relational connection that an entity has with W. O. Gant.
-
D.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
E.
relationshipEnd
Indicates that a previously existing relationship between entities has been terminated or has come to an end.
- F. None of above. chosen
Provenance (4 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26311c8819093a81ff0fa43b33b |
completed | April 14, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69de657e174481909da0437556334a04 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:29 a.m.