Triple
T11275444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivan Franko |
E266923
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Boa Constrictor
"Boa Constrictor" is a literary work by Ukrainian writer Ivan Franko, known for its social and psychological themes.
|
E916312
|
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: Boa Constrictor | Statement: [Ivan Franko, notableWork, Boa Constrictor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boa Constrictor Context triple: [Ivan Franko, notableWork, Boa Constrictor]
-
A.
Jamaican boa
The Jamaican boa is a large, non-venomous snake species endemic to Jamaica, known for its arboreal habits and conservation concern due to habitat loss and introduced predators.
-
B.
Burmese python
The Burmese python is a large, nonvenomous constrictor snake native to Southeast Asia that has become a highly destructive invasive species in the Florida Everglades.
-
C.
Constrictor
Constrictor is a water slide attraction at Wet'n'Wild Gold Coast known for its tight twists and high-speed tube-style turns.
-
D.
Víbora
Víbora is a traditional residential neighborhood in Havana, Cuba, known for its dense urban fabric and local commercial activity.
-
E.
Snake
"Snake" is a raw, intense track by PJ Harvey from her critically acclaimed 1993 album "Rid of Me."
- 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: Boa Constrictor Triple: [Ivan Franko, notableWork, Boa Constrictor]
Generated description
"Boa Constrictor" is a literary work by Ukrainian writer Ivan Franko, known for its social and psychological themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boa Constrictor Target entity description: "Boa Constrictor" is a literary work by Ukrainian writer Ivan Franko, known for its social and psychological themes.
-
A.
Jamaican boa
The Jamaican boa is a large, non-venomous snake species endemic to Jamaica, known for its arboreal habits and conservation concern due to habitat loss and introduced predators.
-
B.
Burmese python
The Burmese python is a large, nonvenomous constrictor snake native to Southeast Asia that has become a highly destructive invasive species in the Florida Everglades.
-
C.
Constrictor
Constrictor is a water slide attraction at Wet'n'Wild Gold Coast known for its tight twists and high-speed tube-style turns.
-
D.
Víbora
Víbora is a traditional residential neighborhood in Havana, Cuba, known for its dense urban fabric and local commercial activity.
-
E.
Snake
Snake is the central protagonist of the 1993 action film "Airborne," around whom the movie’s primary conflicts and narrative developments revolve.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e966cb4c8190bc410d7e623e54db |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f445792c8190962d94aa71f328d9 |
completed | April 19, 2026, 3:27 p.m. |
| NEDg | Description generation | batch_69e4f9596e1081908e7b319f77453438 |
completed | April 19, 2026, 3:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ff5881b8819080f9662a0c2d486d |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 8, 2026, 9:31 p.m.