Triple
T21527551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calibre |
E531134
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Anne Nikitin
Anne Nikitin is a film and television composer known for her atmospheric, often suspenseful scores for documentaries, dramas, and thrillers.
|
E1501186
|
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: Anne Nikitin | Statement: [Calibre, musicBy, Anne Nikitin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Nikitin Context triple: [Calibre, musicBy, Anne Nikitin]
-
A.
Tatiana Blatnik
Tatiana Blatnik is a Venezuelan-born public relations specialist and author who became a member of the former Greek royal family through her marriage to Prince Nikolaos of Greece and Denmark.
-
B.
Nina Doroshina
Nina Doroshina was a Soviet and Russian actress best known for her leading role in the popular film "Love and Doves."
-
C.
Nina Aleshina
Nina Aleshina was a Soviet architect known for designing Moscow Metro stations, including Kakhovskaya.
-
D.
Natasha Naginsky
Natasha Naginsky is a recurring character on the television series "Sex and the City," known as the poised and polished woman who briefly marries Mr. Big.
-
E.
Alexandra Yatsko
Alexandra Yatsko is a film producer known for her work on the documentary "Love, Antosha."
- 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: Anne Nikitin Triple: [Calibre, musicBy, Anne Nikitin]
Generated description
Anne Nikitin is a film and television composer known for her atmospheric, often suspenseful scores for documentaries, dramas, and thrillers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anne Nikitin Target entity description: Anne Nikitin is a film and television composer known for her atmospheric, often suspenseful scores for documentaries, dramas, and thrillers.
-
A.
Tatiana Blatnik
Tatiana Blatnik is a Venezuelan-born public relations specialist and author who became a member of the former Greek royal family through her marriage to Prince Nikolaos of Greece and Denmark.
-
B.
Nina Doroshina
Nina Doroshina was a Soviet and Russian actress best known for her leading role in the popular film "Love and Doves."
-
C.
Nina Aleshina
Nina Aleshina was a Soviet architect known for designing Moscow Metro stations, including Kakhovskaya.
-
D.
Natasha Naginsky
Natasha Naginsky is a recurring character on the television series "Sex and the City," known as the poised and polished woman who briefly marries Mr. Big.
-
E.
Alexandra Yatsko
Alexandra Yatsko is a film producer known for her work on the documentary "Love, Antosha."
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee88522e948190b9fa5a3587f32eae |
completed | April 26, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a365e13e08190b12b1c7fe707c998 |
completed | May 17, 2026, 9:42 p.m. |
| NEDg | Description generation | batch_6a0a373aca708190aae867f78c87b956 |
completed | May 17, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a37e0bed48190b0319d62eaff5d1e |
completed | May 17, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:26 p.m.