Triple
T35693409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chen Boda |
E1031365
|
entity |
| Predicate | roleDuringCulturalRevolution |
P183830
|
FINISHED |
| Object | chief theoretician |
—
|
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: chief theoretician | Statement: [Chen Boda, roleDuringCulturalRevolution, chief theoretician]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleDuringCulturalRevolution Context triple: [Chen Boda, roleDuringCulturalRevolution, chief theoretician]
-
A.
survivedCulturalRevolution
Indicates that the subject lived through and remained alive after experiencing the Chinese Cultural Revolution.
-
B.
roleBeforeQuietRevolution
Indicates that an entity held a particular role or status prior to the Quiet Revolution period.
-
C.
politicalStatusUnderZhou
Indicates the political status or position an entity held under the Zhou dynasty’s authority or administrative system.
-
D.
roleDuringSecondSinoJapaneseWar
Indicates the specific role, position, or function an entity held or performed during the Second Sino-Japanese War.
-
E.
roleDuringReignOfTerror
Indicates the specific position, function, or involvement an entity had during the historical period known as the Reign of Terror.
- 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a34e80dc8190980d5b7b0b91341d |
completed | May 3, 2026, 7:34 p.m. |
Created at: May 3, 2026, 4:05 p.m.