Triple
T3224108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxim Peshkov |
E67581
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Maxim
Maxim is a masculine given name of Latin origin, commonly used in Slavic and other European countries.
|
E338749
|
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: Maxim | Statement: [Maxim Peshkov, givenName, Maxim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maxim Context triple: [Maxim Peshkov, givenName, Maxim]
-
A.
Mark Francois
Mark Francois is a British Conservative politician and Member of Parliament known for his roles in defence-related ministerial posts and his prominent support for Brexit.
-
B.
Bronson
Bronson is a 2008 British biographical crime film in which Tom Hardy portrays the notoriously violent prisoner Charles Bronson.
-
C.
Xandre
Xandre is a shortened, informal given name derived from Alexandre, commonly used as a nickname or variant.
-
D.
Max Vatan
Max Vatan is a skilled Canadian intelligence officer and pilot portrayed by Brad Pitt in the World War II romantic thriller film "Allied."
-
E.
Alex Martin
Alex Martin is a determined and resourceful photojournalist who becomes one of the two main survivors struggling to endure a remote mountain wilderness after a plane crash in the film "The Mountain Between Us."
- 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: Maxim Triple: [Maxim Peshkov, givenName, Maxim]
Generated description
Maxim is a masculine given name of Latin origin, commonly used in Slavic and other European countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maxim Target entity description: Maxim is a masculine given name of Latin origin, commonly used in Slavic and other European countries.
-
A.
Mark Francois
Mark Francois is a British Conservative politician and Member of Parliament known for his roles in defence-related ministerial posts and his prominent support for Brexit.
-
B.
Bronson
Bronson is a 2008 British biographical crime film in which Tom Hardy portrays the notoriously violent prisoner Charles Bronson.
-
C.
Xandre
Xandre is a shortened, informal given name derived from Alexandre, commonly used as a nickname or variant.
-
D.
Max Vatan
Max Vatan is a skilled Canadian intelligence officer and pilot portrayed by Brad Pitt in the World War II romantic thriller film "Allied."
-
E.
Alex Martin
Alex Martin is a determined and resourceful photojournalist who becomes one of the two main survivors struggling to endure a remote mountain wilderness after a plane crash in the film "The Mountain Between Us."
- 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_69ad858b8adc8190ad989712c87a476b |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adae1ae8f08190880d0f0e8539cdbc |
completed | March 8, 2026, 5:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2625a22148190927b2a63ae3fc726 |
completed | March 12, 2026, 6:51 a.m. |
| NEDg | Description generation | batch_69b264c6022c81908b3235e88a7ed27f |
completed | March 12, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b268bd0d3c8190a60dda0a9086c0cc |
completed | March 12, 2026, 7:18 a.m. |
Created at: March 8, 2026, 3:08 p.m.