Triple
T8626788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viktor Shklovsky |
E204297
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
OPOJAZ
OPOJAZ was a pioneering Russian Formalist literary group in early 20th-century Petrograd that developed influential theories of literary form and technique.
|
E746994
|
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: OPOJAZ | Statement: [Viktor Shklovsky, memberOf, OPOJAZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OPOJAZ Context triple: [Viktor Shklovsky, memberOf, OPOJAZ]
-
A.
OPO
OPO is the vehicle registration code assigned to the Polish city of Opole.
-
B.
OZP
OZP is the IATA airport code for Morón Air Base, a military airfield located near Seville in southern Spain.
-
C.
Poga
Poga is a genus of flowering plants in the family Anisophylleaceae, known for its tropical tree species.
-
D.
Opolais
Opolais is the surname of Latvian soprano opera singer Kristīne Opolais, renowned for her dramatic roles on major international stages.
-
E.
Prostki
Prostki is a village in northeastern Poland, known for its historical significance and location within the Warmian-Masurian Voivodeship.
- 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: OPOJAZ Triple: [Viktor Shklovsky, memberOf, OPOJAZ]
Generated description
OPOJAZ was a pioneering Russian Formalist literary group in early 20th-century Petrograd that developed influential theories of literary form and technique.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OPOJAZ Target entity description: OPOJAZ was a pioneering Russian Formalist literary group in early 20th-century Petrograd that developed influential theories of literary form and technique.
-
A.
OPO
OPO is the vehicle registration code assigned to the Polish city of Opole.
-
B.
OZP
OZP is the IATA airport code for Morón Air Base, a military airfield located near Seville in southern Spain.
-
C.
Poga
Poga is a genus of flowering plants in the family Anisophylleaceae, known for its tropical tree species.
-
D.
Opolais
Opolais is the surname of Latvian soprano opera singer Kristīne Opolais, renowned for her dramatic roles on major international stages.
-
E.
Prostki
Prostki is a village in northeastern Poland, known for its historical significance and location within the Warmian-Masurian Voivodeship.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc472b8fa481909f52f83ea210483e |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbf918f08190a9b0469eae8e0e0d |
completed | April 2, 2026, 6:56 p.m. |
| NEDg | Description generation | batch_69cebd805a9881909017933409a39e1c |
completed | April 2, 2026, 7:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cebe3f29cc8190b22c30143e7c81bf |
completed | April 2, 2026, 7:06 p.m. |
Created at: March 30, 2026, 6:26 p.m.