Triple
T15562401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boris Chichibabin |
E371030
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Chichibabin
Chichibabin is a surname most notably associated with Boris Chichibabin, a prominent Soviet and Ukrainian poet.
|
E1163517
|
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: Chichibabin | Statement: [Boris Chichibabin, familyName, Chichibabin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chichibabin Context triple: [Boris Chichibabin, familyName, Chichibabin]
-
A.
Negishi
Negishi is a Japanese surname most notably associated with Nobel Prize–winning chemist Ei-ichi Negishi, known for the Negishi coupling reaction in organic synthesis.
-
B.
Eichig
Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
C.
Shibasaburo
Shibasaburo is a Japanese given name most famously borne by the pioneering bacteriologist Shibasaburo Kitasato, a co-discoverer of the plague bacillus.
-
D.
Michishio
Michishio was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait in 1944.
-
E.
Yamazoe
Yamazoe is a rural village in Nara Prefecture, Japan, known for its mountainous terrain, forests, and traditional countryside landscapes.
- 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: Chichibabin Triple: [Boris Chichibabin, familyName, Chichibabin]
Generated description
Chichibabin is a surname most notably associated with Boris Chichibabin, a prominent Soviet and Ukrainian poet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chichibabin Target entity description: Chichibabin is a surname most notably associated with Boris Chichibabin, a prominent Soviet and Ukrainian poet.
-
A.
Negishi
Negishi is a Japanese surname most notably associated with Nobel Prize–winning chemist Ei-ichi Negishi, known for the Negishi coupling reaction in organic synthesis.
-
B.
Eichig
Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
C.
Shibasaburo
Shibasaburo is a Japanese given name most famously borne by the pioneering bacteriologist Shibasaburo Kitasato, a co-discoverer of the plague bacillus.
-
D.
Michishio
Michishio was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait in 1944.
-
E.
Yamazoe
Yamazoe is a rural village in Nara Prefecture, Japan, known for its mountainous terrain, forests, and traditional countryside landscapes.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddc66448190948280fb0c8d390c |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456821988190971539b683f6c656 |
completed | May 9, 2026, 2:32 p.m. |
| NEDg | Description generation | batch_69ff46f44b2c81909f65f0ab455c6549 |
completed | May 9, 2026, 2:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff477a63b48190a453cf669dfda228 |
completed | May 9, 2026, 2:40 p.m. |
Created at: April 10, 2026, 4:09 a.m.