Triple
T15398065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 何叔衡 |
E368232
|
entity |
| Predicate | 是 |
P637
|
FINISHED |
| Object | 中共一大代表 |
—
|
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: 中共一大代表 | Statement: [何叔衡, 是, 中共一大代表]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 是 Context triple: [何叔衡, 是, 中共一大代表]
-
A.
is
chosen
Indicates that two entities are equivalent, share an attribute, or stand in a specified state or relation to each other.
-
B.
孫
Indicates that the second person is the grandchild (specifically grandson) of the first person.
-
C.
דת
Indicates a relationship where an entity is associated with, practices, or is characterized by a particular religion or religious affiliation.
-
D.
Wang Ben
Indicates a relationship or action involving an entity named "Wang Ben," such as authorship, participation, or association, depending on the specific context in which the predicate is used.
-
E.
Xiaoerjing
Indicates a relationship where something is written, represented, or transcribed using the Xiaoerjing (Arabic-based) script for Sinitic languages.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8c5d40819086622b70edcb6294 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.