Triple
T4180095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KV-1 |
E86571
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object |
Zhozef Kotin
Zhozef Kotin was a prominent Soviet tank designer best known for leading the development of several heavy tanks used during World War II.
|
E419772
|
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: Zhozef Kotin | Statement: [KV-1, designedBy, Zhozef Kotin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhozef Kotin Context triple: [KV-1, designedBy, Zhozef Kotin]
-
A.
Joseph Kopechne
Joseph Kopechne was the father of Mary Jo Kopechne, the young political campaign worker who died in the 1969 Chappaquiddick incident involving Senator Ted Kennedy.
-
B.
Brian Kotzur
Brian Kotzur is an American drummer best known for his work with the indie rock band Silver Jews.
-
C.
Martin Jurow
Martin Jurow was an American film producer best known for his work on classic mid-20th-century Hollywood movies, including the iconic Audrey Hepburn film "Breakfast at Tiffany's."
-
D.
Victor Slezak
Victor Slezak is an American actor known for his work in film, television, and theater, including roles in dramas such as "The Bridges of Madison County."
-
E.
Victor Kubicek
Victor Kubicek is a film producer best known for co-producing the science fiction action movie "Terminator Salvation."
- 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: Zhozef Kotin Triple: [KV-1, designedBy, Zhozef Kotin]
Generated description
Zhozef Kotin was a prominent Soviet tank designer best known for leading the development of several heavy tanks used during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zhozef Kotin Target entity description: Zhozef Kotin was a prominent Soviet tank designer best known for leading the development of several heavy tanks used during World War II.
-
A.
Joseph Kopechne
Joseph Kopechne was the father of Mary Jo Kopechne, the young political campaign worker who died in the 1969 Chappaquiddick incident involving Senator Ted Kennedy.
-
B.
Brian Kotzur
Brian Kotzur is an American drummer best known for his work with the indie rock band Silver Jews.
-
C.
Martin Jurow
Martin Jurow was an American film producer best known for his work on classic mid-20th-century Hollywood movies, including the iconic Audrey Hepburn film "Breakfast at Tiffany's."
-
D.
Victor Slezak
Victor Slezak is an American actor known for his work in film, television, and theater, including roles in dramas such as "The Bridges of Madison County."
-
E.
Victor Kubicek
Victor Kubicek is a film producer best known for co-producing the science fiction action movie "Terminator Salvation."
- 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0302972c819082f6e1938ed417c4 |
completed | March 9, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589f5864881909c9fc787dd9b2341 |
completed | March 14, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69b58a81af5481908ad8fe2c7925cb99 |
completed | March 14, 2026, 4:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58b6ee40c8190a3e93f03a66df1b2 |
completed | March 14, 2026, 4:23 p.m. |
Created at: March 9, 2026, 3:45 p.m.