Triple
T29211885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Budhan |
E740566
|
entity |
| Predicate | associatedWithReasoning |
P204090
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Budhan, associatedWithReasoning, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithReasoning Context triple: [Budhan, associatedWithReasoning, true]
-
A.
reasoningType
Indicates the specific kind or mode of reasoning applied in deriving a conclusion or making an inference between entities.
-
B.
canReasonAbout
Indicates that one entity has the capability to understand, analyze, or draw inferences about another entity or subject.
-
C.
associatedWithComplex
Indicates that an entity has a relationship or connection with a specific complex, such as being part of it, interacting with it, or functionally linked to it.
-
D.
associatedWithSubject
Indicates a general relationship or connection between an entity and a subject, without specifying the exact nature of that association.
-
E.
reasonForAssociation
Indicates that one entity is associated with another due to a specific cause, purpose, or motivating factor underlying their relationship.
- 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_6a03213d35788190bdf04e19625b4060 |
completed | May 12, 2026, 12:46 p.m. |
| PD | Predicate disambiguation | batch_6a031ea131d48190ab0fecb48b8e2205 |
completed | May 12, 2026, 12:35 p.m. |
| PDg | Predicate description generation | batch_6a03213c1e10819099738cd1faeab8bb |
completed | May 12, 2026, 12:46 p.m. |
Created at: April 28, 2026, 12:11 p.m.