Triple
T9397216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | At Eternity’s Gate |
E226172
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Tatiana Lisovskaya
Tatiana Lisovskaya is a film composer best known for scoring the biographical drama "At Eternity’s Gate."
|
E796886
|
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: Tatiana Lisovskaya | Statement: [At Eternity’s Gate, composer, Tatiana Lisovskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tatiana Lisovskaya Context triple: [At Eternity’s Gate, composer, Tatiana Lisovskaya]
-
A.
Ludmila Kulik
Ludmila Kulik is a notable individual who bears the Russian surname Kulik, recognized among people with this family name.
-
B.
Galina Kulik
Galina Kulik is a person notable enough to be recognized as a bearer of the surname Kulik, though specific widely known public details about her are not readily available.
-
C.
Larisa Latynina
Larisa Latynina is a Soviet artistic gymnast who became one of the most decorated Olympians in history, winning a record number of medals during the 1950s and 1960s.
-
D.
Anna Vasilchikova
Anna Vasilchikova was a Russian noblewoman who became one of the later wives of Tsar Ivan IV "the Terrible" of Russia.
-
E.
Veronika Ozerova
Veronika Ozerova is an actress known for appearing in the science fiction war film "The Darkest Hour."
- 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: Tatiana Lisovskaya Triple: [At Eternity’s Gate, composer, Tatiana Lisovskaya]
Generated description
Tatiana Lisovskaya is a film composer best known for scoring the biographical drama "At Eternity’s Gate."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tatiana Lisovskaya Target entity description: Tatiana Lisovskaya is a film composer best known for scoring the biographical drama "At Eternity’s Gate."
-
A.
Ludmila Kulik
Ludmila Kulik is a notable individual who bears the Russian surname Kulik, recognized among people with this family name.
-
B.
Galina Kulik
Galina Kulik is a person notable enough to be recognized as a bearer of the surname Kulik, though specific widely known public details about her are not readily available.
-
C.
Larisa Latynina
Larisa Latynina is a Soviet artistic gymnast who became one of the most decorated Olympians in history, winning a record number of medals during the 1950s and 1960s.
-
D.
Anna Vasilchikova
Anna Vasilchikova was a Russian noblewoman who became one of the later wives of Tsar Ivan IV "the Terrible" of Russia.
-
E.
Veronika Ozerova
Veronika Ozerova is an actress known for appearing in the science fiction war film "The Darkest Hour."
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51541020819097da2eb60be73760 |
completed | April 1, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1011aef64819085cbb7e04c2d87b2 |
completed | April 4, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_69d1054d18ec8190b88dc95f785a370a |
completed | April 4, 2026, 12:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d105b7570481909f90b7588e210667 |
completed | April 4, 2026, 12:36 p.m. |
Created at: March 30, 2026, 7:46 p.m.