Triple
T32368087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xi Jinping family |
E827050
|
entity |
| Predicate | publicRoleOfMember |
P189728
|
FINISHED |
| Object | Peng Liyuan as a well-known folk singer |
—
|
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: Peng Liyuan as a well-known folk singer | Statement: [Xi Jinping family, publicRoleOfMember, Peng Liyuan as a well-known folk singer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicRoleOfMember Context triple: [Xi Jinping family, publicRoleOfMember, Peng Liyuan as a well-known folk singer]
-
A.
knownMemberRole
Indicates that an entity is recognized as holding a specific role or position within a group, organization, or membership context.
-
B.
memberRole_3
Indicates that an entity holds a specific role or position as a member within a group, organization, or context.
-
C.
memberRole_5
Indicates that an entity holds a specific role or position within a particular group, organization, or membership context.
-
D.
memberPlaysRole
chosen
Indicates that a member participates in or fulfills a specific role within a group, organization, or context.
-
E.
profileRole
Indicates the specific role or function an entity holds within a given profile or contextual configuration.
- 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_69feba0f09508190b3e871c62b19ec7f |
completed | May 9, 2026, 4:37 a.m. |
| PD | Predicate disambiguation | batch_69feb957fe7c8190969fb31a6d1a59c8 |
completed | May 9, 2026, 4:34 a.m. |
Created at: May 1, 2026, 12:50 a.m.