Triple
T726813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He Zizhen |
E14743
|
entity |
| Predicate | roleDuringLongMarch |
P9463
|
FINISHED |
| Object | Red Army cadre |
—
|
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: Red Army cadre | Statement: [He Zizhen, roleDuringLongMarch, Red Army cadre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleDuringLongMarch Context triple: [He Zizhen, roleDuringLongMarch, Red Army cadre]
-
A.
laterPoliticalCommissar
Indicates that the person served as a political commissar of the specified unit or organization at a later point in time (not necessarily their first or only such role).
-
B.
militaryRole
chosen
Indicates the specific function, position, or duty an entity holds within a military organization or context.
-
C.
roleAtStalingrad
Indicates the specific role, position, or function an entity held in relation to the Battle of Stalingrad.
-
D.
roleInWarAndPeace
Indicates that an entity has a specific role or function within the context of the War and Peace conflict or narrative.
-
E.
roleInSpanishCivilWar
Indicates the specific involvement or function an entity had in the context of the Spanish Civil War.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64adf2c81908e48090be35dd9d9 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f839608190878a60eb7a044ed9 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.