Triple
T12958716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Looking for Alaska (miniseries) |
E310081
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Lara Buterskaya
Lara Buterskaya is a central character in the television miniseries adaptation of John Green’s novel "Looking for Alaska."
|
E1013780
|
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: Lara Buterskaya | Statement: [Looking for Alaska (miniseries), mainCharacter, Lara Buterskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lara Buterskaya Context triple: [Looking for Alaska (miniseries), mainCharacter, Lara Buterskaya]
-
A.
Roksana Makariova
Roksana Makariova was the wife of renowned Soviet film director and theorist Vsevolod Pudovkin.
-
B.
Tatiana Gutsu
Tatiana Gutsu is a former Soviet artistic gymnast best known for winning the all-around gold medal at the 1992 Barcelona Olympic Games.
-
C.
Dominika Egorova
Dominika Egorova is the fictional Russian ballerina-turned-spy protagonist of the espionage thriller "Red Sparrow."
-
D.
Anjelika Krylova
Anjelika Krylova is a Russian former ice dancer and world champion known for her successful competitive career in the 1990s with partner Oleg Ovsyannikov.
-
E.
Raisa Kurkina
Raisa Kurkina is a Soviet actress best known for her role in the classic 1970 film "White Sun of the Desert."
- 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: Lara Buterskaya Triple: [Looking for Alaska (miniseries), mainCharacter, Lara Buterskaya]
Generated description
Lara Buterskaya is a central character in the television miniseries adaptation of John Green’s novel "Looking for Alaska."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lara Buterskaya Target entity description: Lara Buterskaya is a central character in the television miniseries adaptation of John Green’s novel "Looking for Alaska."
-
A.
Roksana Makariova
Roksana Makariova was the wife of renowned Soviet film director and theorist Vsevolod Pudovkin.
-
B.
Tatiana Gutsu
Tatiana Gutsu is a former Soviet artistic gymnast best known for winning the all-around gold medal at the 1992 Barcelona Olympic Games.
-
C.
Dominika Egorova
Dominika Egorova is the fictional Russian ballerina-turned-spy protagonist of the espionage thriller "Red Sparrow."
-
D.
Anjelika Krylova
Anjelika Krylova is a Russian former ice dancer and world champion known for her successful competitive career in the 1990s with partner Oleg Ovsyannikov.
-
E.
Raisa Kurkina
Raisa Kurkina is a Soviet actress best known for her role in the classic 1970 film "White Sun of the Desert."
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e2e44908190bb8b43fc5c3b8a8a |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8dddd80819094c80ef405024419 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6ba0904e8819098bae29961bf0046 |
completed | May 3, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb7a0ae08190813411fa677430aa |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 5:44 p.m.