Triple
T14738793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julieta Madrigal |
E346286
|
entity |
| Predicate | mediumOfMagic |
P115573
|
FINISHED |
| Object | cooked food |
—
|
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: cooked food | Statement: [Julieta Madrigal, mediumOfMagic, cooked food]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumOfMagic Context triple: [Julieta Madrigal, mediumOfMagic, cooked food]
-
A.
typeOfMagic
Indicates that one entity is a specific category, school, or kind of magic associated with another entity.
-
B.
involvesMagic
Indicates that the related action, event, or relationship includes the use or presence of magical powers, forces, or phenomena.
-
C.
usesMagic
Indicates that an entity performs actions or achieves effects by employing magical powers or supernatural abilities.
-
D.
spells
Indicates that one entity writes or names the letters of a word or sequence in their correct order for another entity or context.
-
E.
hasLimitedMagic
Indicates that an entity possesses magical abilities that are restricted in scope, power, frequency, or conditions of use.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73264848190be23c5f0260cbe13 |
completed | April 14, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:29 a.m.