Triple
T34949294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoltar Speaks machine |
E1007942
|
entity |
| Predicate | grantsWishEffect |
P154733
|
FINISHED |
| Object | transforms Josh Baskin into an adult |
—
|
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: transforms Josh Baskin into an adult | Statement: [Zoltar Speaks machine, grantsWishEffect, transforms Josh Baskin into an adult]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantsWishEffect Context triple: [Zoltar Speaks machine, grantsWishEffect, transforms Josh Baskin into an adult]
-
A.
makesWish
Indicates that an entity expresses a desire or hope for something to happen or become true.
-
B.
fulfilledWish
Indicates that a previously expressed wish or desire has been successfully realized or brought about.
-
C.
ruleOfWishes
Indicates a governing principle or constraint that determines how wishes can be made, interpreted, or fulfilled.
-
D.
grantedBoonTo
chosen
Indicates that one entity has bestowed a favor, benefit, or special privilege upon another entity.
-
E.
wishMadeTo
Indicates that one entity has expressed a wish, desire, or hope directed toward another entity.
- 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_69f76dc5d4308190b77553ee07b1ede6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4 p.m.