Triple
T5407401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexei Tolstoy |
E120925
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Aelita
Aelita is a pioneering early Soviet science fiction novel by Alexei Tolstoy that tells the story of a journey to Mars and a revolutionary uprising there.
|
E517007
|
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: Aelita | Statement: [Alexei Tolstoy, notableWork, Aelita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aelita Context triple: [Alexei Tolstoy, notableWork, Aelita]
-
A.
V’Ger
V’Ger is the immensely powerful, evolved space probe that serves as the central enigmatic antagonist in the film "Star Trek: The Motion Picture."
-
B.
Rammu
Rammu is a small Estonian island in the Gulf of Finland, known for its natural landscapes and sparse habitation.
-
C.
Igor
Igor is Tyler, the Creator’s critically acclaimed 2019 studio album that blends hip hop, R&B, and neo-soul into a concept-driven exploration of love and heartbreak.
-
D.
Igor
Igor is a masculine given name of Russian origin, widely used in Slavic countries and beyond.
-
E.
Yuri
Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
- 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: Aelita Triple: [Alexei Tolstoy, notableWork, Aelita]
Generated description
Aelita is a pioneering early Soviet science fiction novel by Alexei Tolstoy that tells the story of a journey to Mars and a revolutionary uprising there.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aelita Target entity description: Aelita is a pioneering early Soviet science fiction novel by Alexei Tolstoy that tells the story of a journey to Mars and a revolutionary uprising there.
-
A.
V’Ger
V’Ger is the immensely powerful, evolved space probe that serves as the central enigmatic antagonist in the film "Star Trek: The Motion Picture."
-
B.
Rammu
Rammu is a small Estonian island in the Gulf of Finland, known for its natural landscapes and sparse habitation.
-
C.
Igor
Igor is a masculine given name of Russian origin, widely used in Slavic countries and beyond.
-
D.
Igor
Igor is Tyler, the Creator’s critically acclaimed 2019 studio album that blends hip hop, R&B, and neo-soul into a concept-driven exploration of love and heartbreak.
-
E.
Yuri
Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8793ab3c81909992b257d462a554 |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf33990f248190841493f0720aa8ee |
completed | March 22, 2026, 12:11 a.m. |
| NEDg | Description generation | batch_69bf345c91588190aea6e50de902b1d2 |
completed | March 22, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf34d20d54819086349a656923f6e9 |
completed | March 22, 2026, 12:16 a.m. |
Created at: March 20, 2026, 2:05 p.m.