Triple
T19867208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergei Shoigu |
E477420
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Shoigu
Shoigu is a Russian politician and army general best known for serving as Russia’s Minister of Defence.
|
E1399950
|
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: Shoigu | Statement: [Sergei Shoigu, familyName, Shoigu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shoigu Context triple: [Sergei Shoigu, familyName, Shoigu]
-
A.
Oruzgan
Oruzgan is a central Afghan province known for its mountainous terrain, tribal Pashtun population, and strategic role in recent conflicts.
-
B.
Yamam
Yamam is an elite Israeli counterterrorism and hostage-rescue police unit renowned for high-risk operations and specialized tactical capabilities.
-
C.
The Zou
The Zou is the nickname for the energetic student section at University of Missouri Tigers football games, known for its loud, passionate support in Memorial Stadium.
-
D.
The Zou
The Zou is the popular nickname for the University of Missouri's Memorial Stadium, a major college football venue in Columbia, Missouri.
-
E.
Muye
Muye was the site of an ancient Chinese battlefield where the Zhou forces decisively overthrew the Shang dynasty.
- 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: Shoigu Triple: [Sergei Shoigu, familyName, Shoigu]
Generated description
Shoigu is a Russian politician and army general best known for serving as Russia’s Minister of Defence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shoigu Target entity description: Shoigu is a Russian politician and army general best known for serving as Russia’s Minister of Defence.
-
A.
Oruzgan
Oruzgan is a central Afghan province known for its mountainous terrain, tribal Pashtun population, and strategic role in recent conflicts.
-
B.
Yamam
Yamam is an elite Israeli counterterrorism and hostage-rescue police unit renowned for high-risk operations and specialized tactical capabilities.
-
C.
The Zou
The Zou is the popular nickname for the University of Missouri's Memorial Stadium, a major college football venue in Columbia, Missouri.
-
D.
The Zou
The Zou is the nickname for the energetic student section at University of Missouri Tigers football games, known for its loud, passionate support in Memorial Stadium.
-
E.
Muye
Muye was the site of an ancient Chinese battlefield where the Zhou forces decisively overthrew the Shang dynasty.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658a0a7288190a82b85e3ae056d6b |
completed | April 20, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07dbc082188190b87235c7edbf3207 |
completed | May 16, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a07dd93f7ac81908848148809d82212 |
completed | May 16, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07de1fafa48190bb975c84402be882 |
completed | May 16, 2026, 3:01 a.m. |
Created at: April 10, 2026, 1:51 p.m.