Triple
T7187711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Propeller Mushroom |
E167611
|
entity |
| Predicate | grantsForm |
P75613
|
FINISHED |
| Object | Propeller Mario |
—
|
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: Propeller Mario | Statement: [Propeller Mushroom, grantsForm, Propeller Mario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantsForm Context triple: [Propeller Mushroom, grantsForm, Propeller Mario]
-
A.
grantProgram
Indicates that an entity administers or is associated with a structured grant-based funding program.
-
B.
grantMakingModel
Indicates the method or approach an entity uses to structure, decide on, and distribute its grants or funding.
-
C.
governmentFormUnder
Indicates that one governmental form or system operates under the authority, framework, or jurisdiction of another governmental form.
-
D.
grantsCreditFor
Indicates that one entity recognizes or awards academic or other formal credit to another entity for a specific activity, course, or achievement.
-
E.
benefitForm
Indicates that one entity is a specific form, type, or variant in which a benefit is provided or realized for another entity.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8e2506881909fc4e81b9b79e873 |
completed | March 27, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69c6e752385c819096fbab55566ee2a8 |
completed | March 27, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69c6e8b5f6508190af28e06a7959d717 |
completed | March 27, 2026, 8:29 p.m. |
Created at: March 27, 2026, 2:50 p.m.