Triple
T17124617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Field Army |
E415559
|
entity |
| Predicate | hadPoliticalCommissar |
P110057
|
FINISHED |
| Object |
Rao Shushi
Rao Shushi was a senior Chinese Communist Party leader and revolutionary who held key political and military posts in the early People’s Republic of China before later being purged.
|
E1251277
|
NE FINISHED |
How this triple was built (4 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: Rao Shushi | Statement: [Third Field Army, hadPoliticalCommissar, Rao Shushi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rao Shushi Context triple: [Third Field Army, hadPoliticalCommissar, Rao Shushi]
-
A.
Shōkū
Shōkū was a prominent Japanese Buddhist monk of the Kamakura period and a leading disciple of Hōnen who helped develop and spread Pure Land (Jōdo) teachings.
-
B.
Donaka Mark
Donaka Mark is the main villain in the martial arts film "Man of Tai Chi," a ruthless underground fight promoter portrayed by Keanu Reeves.
-
C.
Sadaharu
Sadaharu is the given name of Sadaharu Oh, the legendary Japanese-Taiwanese baseball player and home run record holder.
-
D.
Nobu
Nobu is a common Japanese given name and name element that can appear in various masculine and unisex names.
-
E.
Koji Sato
Koji Sato is a Japanese automotive executive who serves as the president and CEO of Toyota Motor Corporation.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rao Shushi Triple: [Third Field Army, hadPoliticalCommissar, Rao Shushi]
Generated description
Rao Shushi was a senior Chinese Communist Party leader and revolutionary who held key political and military posts in the early People’s Republic of China before later being purged.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rao Shushi Target entity description: Rao Shushi was a senior Chinese Communist Party leader and revolutionary who held key political and military posts in the early People’s Republic of China before later being purged.
-
A.
Shōkū
Shōkū was a prominent Japanese Buddhist monk of the Kamakura period and a leading disciple of Hōnen who helped develop and spread Pure Land (Jōdo) teachings.
-
B.
Donaka Mark
Donaka Mark is the main villain in the martial arts film "Man of Tai Chi," a ruthless underground fight promoter portrayed by Keanu Reeves.
-
C.
Sadaharu
Sadaharu is the given name of Sadaharu Oh, the legendary Japanese-Taiwanese baseball player and home run record holder.
-
D.
Nobu
Nobu is a common Japanese given name and name element that can appear in various masculine and unisex names.
-
E.
Koji Sato
Koji Sato is a Japanese automotive executive who serves as the president and CEO of Toyota Motor Corporation.
- F. None of above. chosen
Provenance (5 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f025fce481908e261f2e363e14f9 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a12a7288190911c1be2667916c0 |
completed | May 11, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_6a013a8e69388190b8d48d70a28e99bd |
completed | May 11, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013b6824888190853cf36548507e1b |
completed | May 11, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:36 a.m.