Triple
T34476436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summer "Daisy" Song Previn |
E885050
|
entity |
| Predicate | adoptedFromCountry |
P9963
|
FINISHED |
| Object | South Korea |
—
|
NE NERFINISHED |
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: South Korea | Statement: [Summer "Daisy" Song Previn, adoptedFromCountry, South Korea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adoptedFromCountry Context triple: [Summer "Daisy" Song Previn, adoptedFromCountry, South Korea]
-
A.
adoptedCountry
Indicates the country that an entity has chosen to reside in or align with as its new home, distinct from its place of origin.
-
B.
adoptionCountry
chosen
Indicates the country in which the adoption of an entity (such as a person, animal, or item) legally took place.
-
C.
adoptedFrom
Indicates that an entity has been taken into guardianship, ownership, or use from another source or origin.
-
D.
formerCountryOfOrigin
Indicates that an entity was previously the country from which another entity originated, but is no longer its current country of origin.
-
E.
adoptiveParentNationality
Indicates the nationality associated with an individual's adoptive parent in the context of an adoption relationship.
- 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_69f349c880408190ade571c471ab154a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f727bde8f88190ad746ca515134ca1 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72739c30c81908642eef3feb3afcf |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 2:01 a.m.