Triple
T32368136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiao Muzi |
E827052
|
entity |
| Predicate | familyRelationOfAllegedUser |
P163035
|
FINISHED |
| Object | daughter of Chinese leader |
—
|
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: daughter of Chinese leader | Statement: [Xiao Muzi, familyRelationOfAllegedUser, daughter of Chinese leader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familyRelationOfAllegedUser Context triple: [Xiao Muzi, familyRelationOfAllegedUser, daughter of Chinese leader]
-
A.
familyConnectionTo
Indicates a familial relationship or bond that exists between two entities, such as by blood, marriage, or adoption.
-
B.
familyAssociationWith
chosen
Indicates a familial relationship or connection exists between the referenced entities.
-
C.
relationshipToParents
Indicates the type or nature of a person's familial relationship to their parents.
-
D.
familyRelationTheme
Indicates that one entity is the thematic focus or topic within a family relationship involving another entity.
-
E.
basisOfRelationship
Indicates that one entity serves as the foundational reason, cause, or justification for the relationship that exists between two or more entities.
- 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_69f349166d548190887b412fe908e2f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 1, 2026, 12:50 a.m.