Triple
T8463693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magda |
E200104
|
entity |
| Predicate | shortFormType |
P83434
|
FINISHED |
| Object | hypocorism |
—
|
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: hypocorism | Statement: [Magda, shortFormType, hypocorism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortFormType Context triple: [Magda, shortFormType, hypocorism]
-
A.
shortCodeType
Indicates that one entity is classified as a specific type or category of short code associated with another entity.
-
B.
isShort
Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
-
C.
wasShortened
Indicates that something has been made shorter in length, duration, or extent compared to its original form.
-
D.
hasShortTitle
Indicates that an entity is associated with a brief or abbreviated title.
-
E.
shortNameInJapanese
Indicates that an entity has a specific abbreviated or shorter form of its name expressed in the Japanese language.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4a39bd48190b72be7e03cff323b |
completed | March 31, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:10 p.m.