Triple
T34949279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoltar Speaks machine |
E1007942
|
entity |
| Predicate | wishGranted |
P181881
|
FINISHED |
| Object | to become big |
—
|
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: to become big | Statement: [Zoltar Speaks machine, wishGranted, to become big]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wishGranted Context triple: [Zoltar Speaks machine, wishGranted, to become big]
-
A.
hasGivenConsentFor
Indicates that one entity has granted permission or approval for a specific action, process, or use involving another entity or resource.
-
B.
placeGranted
Indicates that one entity has been given or allocated a position, spot, or placement by another entity.
-
C.
mayGrant
Indicates that one entity has the authority or permission to confer, assign, or bestow a right, privilege, or resource to another entity.
-
D.
grantedIn
Indicates that something (such as a right, status, or permission) is formally conferred or authorized within a particular context, document, or jurisdiction.
-
E.
isTypicallyGrantedTo
Indicates that something is customarily or usually given, awarded, or allowed to a particular recipient or group.
- 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_69f76dc5d4308190b77553ee07b1ede6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782cf61948190b98185d961609554 |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782c848fc8190baea8c845ca9079f |
completed | May 3, 2026, 5:15 p.m. |
Created at: May 3, 2026, 4 p.m.